Index

A B C D E F G H I J L M N O P Q R S T U V W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractBottomUpParser - Class in opennlp.tools.parser

Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.

AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser

AbstractContextGenerator - Class in opennlp.tools.parser

Abstract class containing many of the methods used to generate contexts for parsing.

AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator

AbstractDataIndexer - Class in opennlp.tools.ml.model

Abstract DataIndexer implementation for collecting event and context counts used in training.

AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer

AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml

A basic EventModelSequenceTrainer implementation that processes events.

AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer

AbstractEventStream<T> - Class in opennlp.tools.util

A base ObjectStream implementation for events.

AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream

Initializes an AbstractEventStream with a sample Iterator.

AbstractEventTrainer - Class in opennlp.tools.ml

A basic EventTrainer implementation.

AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer

AbstractEventTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractEventTrainer

AbstractMLModelWriter - Class in opennlp.tools.ml

AbstractMLModelWriter() - Constructor for class opennlp.tools.ml.AbstractMLModelWriter

AbstractModel - Class in opennlp.tools.ml.model

A basic MaxentModel implementation.

AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel

Initializes an AbstractModel.

AbstractModel.ModelType - Enum Class in opennlp.tools.ml.model

AbstractModelReader - Class in opennlp.tools.ml.model

An abstract, basic implementation of a model reader.

AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader

Initializes a AbstractModelReader via a File.

AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader

Initializes a AbstractModelReader via a DataReader.

AbstractModelWriter - Class in opennlp.tools.ml.model

An abstract, basic implementation of a model writer.

AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter

AbstractObjectStream<T> - Class in opennlp.tools.util

A base ObjectStream implementation.

AbstractParserEventStream - Class in opennlp.tools.parser

Abstract class extended by parser event streams which perform tagging and chunking.

AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream

AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream

AbstractSampleStreamFactory<T,P> - Class in opennlp.tools.formats

Base class for sample stream factories.

AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert

AbstractTrainer - Class in opennlp.tools.ml

AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer

AbstractTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractTrainer

Initializes a AbstractTrainer via TrainingParameters.

AbstractXmlFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen

An interface for generating features for name entity identification and for updating document level contexts.

ADChunkSampleStream - Class in opennlp.tools.formats.ad

Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.

ADChunkSampleStream(InputStreamFactory, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream

Instantiates a ADChunkSampleStream stream from an InputStreamFactory.

ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream

Instantiates a ADChunkSampleStream stream from ObjectStream<String>, that could be a PlainTextByLineStream object.

ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad

A Factory to create a Arvores Deitadas ChunkStream from the command line utility.

ADChunkSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad

add(char) - Method in class opennlp.tools.stemmer.PorterStemmer

Add a character to the word being stemmed.

add(double) - Method in class opennlp.tools.util.eval.Mean

Adds a value to the arithmetic mean.

add(double, long) - Method in class opennlp.tools.util.eval.Mean

Adds a value count times to the arithmetic mean.

add(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel

Adds an ngram.

add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramCharModel

Adds a CharSequence that will be ngrammed into chars.

add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramModel

Adds character NGrams to the current instance.

add(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel

Adds further tokens.

add(String, double) - Method in class opennlp.tools.util.Sequence

Adds an outcome and probability to this sequence.

add(IrishSentenceBankDocument.IrishSentenceBankSentence) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse

add(StringList) - Method in class opennlp.tools.ngram.NGramModel

Adds one NGram, if it already exists the count increase by one.

add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel

Adds NGrams up to the specified length to the current instance.

addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil

Adds cutoff and iterations to manifestInfoEntries.

addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node

addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator

Adds a feature generator.

addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Compounds the existing probability mass on the label with the new probability passed in to the method.

addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability

Compounds the existing probability mass on the label with the new probability passed in to the method.

addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Compounds the existing probability mass on the label t with the new probability passed in to the method.

addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Compounds the existing probability mass on the label t with the new probability passed in to the method.

additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream

Generated previous decision features for each token based on contents of the specified prevMap.

AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen

The AdditionalContextFeatureGenerator generates the context from the passed in additional context.

AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator

additionalData() - Method in record class opennlp.tools.util.TokenTag

Returns the value of the additionalData record component.

addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse

Utility method to insert named entities.

addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse

Designates that the specified punctuation follows this parse.

addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse

Designates that the specified punctuation should is prior to this parse.

addProb(double) - Method in class opennlp.tools.parser.Parse

Adds the specified logProb to this current log for this parse.

adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse

Sister adjoins this node's last child and the specified sister node and returns their new parent node.

adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse

ADNameSampleStream - Class in opennlp.tools.formats.ad

Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.

ADNameSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream

Deprecated, for removal: This API element is subject to removal in a future version.

ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream

Initializes a new ADNameSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.

ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad

A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.

ADNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad

ADPOSSampleStream - Class in opennlp.tools.formats.ad

Note: Do not use this class, internal use only!

ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream

Creates a new POSSample stream from an InputStreamFactory

ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream

Creates a new ADPOSSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.

ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad

Note: Do not use this class, internal use only!

ADPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad

ADSentenceSampleStream - Class in opennlp.tools.formats.ad

Note: Do not use this class, internal use only!

ADSentenceSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream

Initializes a new ADSentenceSampleStream.

ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream

Initializes a new ADSentenceSampleStream from a ObjectStream<String>, that could be a PlainTextByLineStream object.

ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad

Note: Do not use this class, internal use only!

ADSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad

ADSentenceStream - Class in opennlp.tools.formats.ad

Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.

ADSentenceStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADSentenceStream

ADSentenceStream.Sentence - Record Class in opennlp.tools.formats.ad

ADSentenceStream.SentenceParser - Class in opennlp.tools.formats.ad

Parses a sample of AD corpus.

ADSentenceStream.SentenceParser.Leaf - Class in opennlp.tools.formats.ad

Represents the AD leaf

ADSentenceStream.SentenceParser.Node - Class in opennlp.tools.formats.ad

Represents the AD node

ADSentenceStream.SentenceParser.TreeElement - Class in opennlp.tools.formats.ad

Represents a tree element, Node or Leaf

ADTokenSampleStreamFactory - Class in opennlp.tools.formats.ad

Note: Do not use this class, internal use only!

ADTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad

AggregateCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A CharSequenceNormalizer implementation that aggregates the functionality of other normalizers.

AggregateCharSequenceNormalizer(CharSequenceNormalizer...) - Constructor for class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer

AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen

The AggregatedFeatureGenerator aggregates a set of feature generators and calls them to generate the features.

AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Initializes an AggregatedFeatureGenerator via specified generators.

AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Initializes an AggregatedFeatureGenerator via specified generators.

AggregatedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces AggregatedFeatureGenerator instances when AggregatedFeatureGeneratorFactory.create() is called.

AggregatedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory

algorithm() - Method in class opennlp.tools.util.TrainingParameters

algorithm(String) - Method in class opennlp.tools.util.TrainingParameters

ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

Among - Class in opennlp.tools.stemmer.snowball

Internal class used by Snowball stemmers

Among(String, int, int) - Constructor for class opennlp.tools.stemmer.snowball.Among

Among(String, int, int, String, MethodHandles.Lookup) - Constructor for class opennlp.tools.stemmer.snowball.Among

AncoraSpanishHeadRules - Class in opennlp.tools.parser.lang.es

Class for storing the Ancora Spanish head rules associated with parsing.

AncoraSpanishHeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

Creates a new set of head rules based on the specified reader.

AncoraSpanishHeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.es

AnnotationConfiguration - Class in opennlp.tools.formats.brat

Encapsulates a type to class mapping for entities, relations, events, etc.

AnnotationConfiguration(Map<String, String>) - Constructor for class opennlp.tools.formats.brat.AnnotationConfiguration

Initializes an AnnotationConfiguration with the specified typeToClassMap.

AnnotatorNoteAnnotation - Class in opennlp.tools.formats.brat

ARABIC - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

arabicStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

arabicStemmer() - Constructor for class opennlp.tools.stemmer.snowball.arabicStemmer

areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BilouCodec

B requires CL or L, C requires BL, L requires B, O requires any valid combo/unit, U requires none.

areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BioCodec

areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec

Checks if the outcomes of a model are compatible with this SequenceCodec.

argmax(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Finds the index of the maximum element in a vector x

ArrayMath - Class in opennlp.tools.ml

Utility class for simple vector arithmetic.

ArrayMath() - Constructor for class opennlp.tools.ml.ArrayMath

ArtifactProvider - Interface in opennlp.tools.util.model

Provides access to model persisted artifacts.

ArtifactSerializer<T> - Interface in opennlp.tools.util.model

Responsible to create an artifact from an InputStream.

asStringSet() - Method in class opennlp.tools.dictionary.Dictionary

Converts this Dictionary to a Set<String>.

ATTACH - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser

Outcome used when a node should be attached as a daughter to another node.

ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser

Outcome used when a node should be attached as a sister to another node.

AttachContextGenerator - Class in opennlp.tools.parser.treeinsert

Generates predictive contexts for deciding how constituents should be attached.

AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator

Instantiates an AttachContextGenerator for making decisions about attachments.

ATTRIBUTE_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration

AttributeAnnotation - Class in opennlp.tools.formats.brat

attributes() - Method in record class opennlp.tools.dictionary.serializer.Entry

Returns the value of the attributes record component.

Attributes - Class in opennlp.tools.dictionary.serializer

The Attributes class stores name value pairs.

Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes

B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat

Generates a feature for each word in a document.

BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator

Instantiates a default BagOfWordsFeatureGenerator instance.

BaseLink - Class in opennlp.tools.entitylinker

Represents a minimal tuple of information.

BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink

BaseModel - Class in opennlp.tools.util.model

This is a common base model which can be used by the components' specific model classes.

BaseToolFactory - Class in opennlp.tools.util

Base class for all tool factories.

BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory

All subclasses should have an empty constructor

BasicContextGenerator - Class in opennlp.tools.ml.maxent

A ContextGenerator implementation for maxent decisions, assuming that the input given to the BasicContextGenerator.getContext(String) method is a String containing contextual predicates separated by spaces, for instance:

BasicContextGenerator() - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator

BasicContextGenerator(String) - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator

Initializes a BasicContextGenerator with a different separator char.

BasicFormatParams - Interface in opennlp.tools.cmdline.params

Common format parameters.

BasicTrainingParams - Interface in opennlp.tools.cmdline.params

Common training parameters.

BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch

BeamSearch - Class in opennlp.tools.ml

Performs k-best search over a sequence.

BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch

Initializes a BeamSearch instance.

BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch

Initializes a BeamSearch instance.

BeamSearchContextGenerator<T> - Interface in opennlp.tools.util

Interface for context generators used with a sequence beam search.

bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel

Finds the Sequence with the highest probability.

bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel

Finds the n most probable sequences with the highest probability.

bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch

Computes the best sequence of outcomes based on the MaxentModel.

bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel

Finds the n most probable sequences with the highest probability.

BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds bigram features based on tokens and token classes.

BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator

BigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces BigramNameFeatureGenerator instances when BigramNameFeatureGeneratorFactory.create() is called.

BigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory

BilouCodec - Class in opennlp.tools.namefind

The default SequenceCodec implementation according to the BILOU scheme.

BilouCodec() - Constructor for class opennlp.tools.namefind.BilouCodec

BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind

A SequenceValidator implementation for the BilouCodec.

BilouNameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.BilouNameFinderSequenceValidator

BinaryFileDataReader - Class in opennlp.tools.ml.model

A DataReader that reads files from a binary format.

BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via an DataInputStream.

BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via a File and creates a DataInputStream for it.

BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader

Instantiates BinaryFileDataReader via an InputStream and creates a DataInputStream for it.

BinaryGISModelReader - Class in opennlp.tools.ml.maxent.io

A GISModelReader that reads models from a binary format.

BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelReader

Instantiates BinaryGISModelReader via a DataInputStream containing the model contents.

BinaryGISModelWriter - Class in opennlp.tools.ml.maxent.io

A GISModelWriter that writes models in a binary format.

BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

Instantiates BinaryGISModelWriter via an GIS model and a DataOutputStream.

BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

Instantiates BinaryGISModelWriter via an GIS model and a File.

BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelReader that reads models from a binary format.

BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader

Instantiates BinaryNaiveBayesModelReader via a DataInputStream containing the model contents.

BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader

Instantiates BinaryNaiveBayesModelReader via a File and creates a reader for it.

BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelWriter that writes models in a binary format.

BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a DataOutputStream.

BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a File.

BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron

A PerceptronModelReader that reads models from a binary format.

BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader

Instantiates BinaryPerceptronModelReader via a DataInputStream containing the model contents.

BinaryPerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader

Instantiates BinaryPerceptronModelReader via a File and creates a reader for it.

BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron

A PerceptronModelWriter that writes models in a binary format.

BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

Instantiates BinaryPerceptronModelWriter via an perceptron model and a DataOutputStream.

BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

Instantiates BinaryPerceptronModelWriter via an perceptron model and a File.

BinaryQNModelReader - Class in opennlp.tools.ml.maxent.io

A QNModelReader that reads models from a binary format.

BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelReader

Instantiates BinaryQNModelReader via a DataInputStream containing the model contents.

BinaryQNModelWriter - Class in opennlp.tools.ml.maxent.io

A QNModelWriter that writes models in a binary format.

BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Instantiates BinaryQNModelWriter via an QN model and a DataOutputStream.

BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Instantiates BinaryQNModelWriter via an QN model and a File.

BioCodec - Class in opennlp.tools.namefind

The default SequenceCodec implementation according to the BIO scheme: B: 'beginning' of a NE I: 'inside', the word is inside a NE O: 'outside', the word is a regular word outside a NE See also the paper by Roth D. and Ratinov L.: Design Challenges and Misconceptions in Named Entity Recognition.

BioCodec() - Constructor for class opennlp.tools.namefind.BioCodec

BioNLP2004NameSampleStream - Class in opennlp.tools.formats

A sample stream for the training files of the BioNLP/NLPBA 2004 shared task.

BioNLP2004NameSampleStream(InputStreamFactory, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream

Initializes a BioNLP2004NameSampleStream.

BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats

BioNLP2004NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse

BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse

BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse

BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse

BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse

BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse

BratAnnotation - Class in opennlp.tools.formats.brat

BratAnnotationStream - Class in opennlp.tools.formats.brat

Reads the annotations from the brat .ann annotation file.

BratDocument - Class in opennlp.tools.formats.brat

Brat (brat rapid annotation tool) is based on the stav visualiser which was originally made in order to visualise BioNLP'11 Shared Task data.

BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Constructor for class opennlp.tools.formats.brat.BratDocument

BratDocumentParser - Class in opennlp.tools.formats.brat

BratDocumentParser(SentenceDetector, Tokenizer) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser

BratDocumentParser(SentenceDetector, Tokenizer, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser

BratDocumentStream - Class in opennlp.tools.formats.brat

BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.brat.BratDocumentStream

Creates a BratDocumentStream which reads the documents from the given input directory.

BratNameSampleStream - Class in opennlp.tools.formats.brat

Generates Name Sample objects for a Brat Document object.

BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream

Initializes a new BratNameSampleStream with the specified parameters based on a straem of documents.

BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream

Creates a new BratNameSampleStream.

BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream

Initializes a new BratNameSampleStream with the specified (model) parameters.

BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream

Creates a new BratNameSampleStream.

BratNameSampleStreamFactory - Class in opennlp.tools.formats.brat

Note: Do not use this class, internal use only!

BratNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.brat

BrownBigramFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates Brown cluster features for token bigrams.

BrownBigramFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator

Initializes a BrownBigramFeatureGenerator generator via a specified BrownCluster.

BrownCluster - Class in opennlp.tools.util.featuregen

Class to load a Brown cluster document in the format: word\tword_class\tprob.

BrownCluster(InputStream) - Constructor for class opennlp.tools.util.featuregen.BrownCluster

Instatiates a BrownCluster and its related token to cluster map via an InputStream.

BrownCluster.BrownClusterSerializer - Class in opennlp.tools.util.featuregen

BrownClusterBigramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces BrownBigramFeatureGenerator instances when BrownClusterBigramFeatureGeneratorFactory.create() is called.

BrownClusterBigramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory

BrownClusterSerializer() - Constructor for class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer

BrownClusterTokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces BrownTokenClassFeatureGenerator instances when BrownClusterTokenClassFeatureGeneratorFactory.create() is called.

BrownClusterTokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory

BrownClusterTokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces BrownTokenFeatureGenerator instances when BrownClusterTokenFeatureGeneratorFactory.create() is called.

BrownClusterTokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory

BrownTokenClasses - Class in opennlp.tools.util.featuregen

Obtain the paths listed in the pathLengths array from the Brown class.

BrownTokenClasses() - Constructor for class opennlp.tools.util.featuregen.BrownTokenClasses

BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates BrownCluster features for current token and token class.

BrownTokenClassFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator

Instantiates a BrownTokenClassFeatureGenerator via a specified BrownCluster.

BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates BrownCluster features for current token.

BrownTokenFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator

Instantiates a BrownTokenFeatureGenerator via a specified BrownCluster.

BUILD - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

BuildContextGenerator - Class in opennlp.tools.parser.chunking

Generates predictive contexts for deciding how constituents should be combined.

BuildContextGenerator - Class in opennlp.tools.parser.treeinsert

Creates the features or contexts for the building phase of parsing.

BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator

Instantiates a BuildContextGenerator for making decisions about combining constituents.

BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator

Instantiates a BuildContextGenerator for making decisions.

BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator

Instantiates a BuildContextGenerator for making decisions about combining constituents using a Dictionary.

buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser

Creates a n-gram Dictionary from the specified data stream using HeadRules and specified cut-off.

buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser

Creates a n-gram Dictionary from the specified data stream using the specified head rule and specified cut-off.

BuildModelUpdaterTool - Class in opennlp.tools.cmdline.parser

BuildModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.BuildModelUpdaterTool

buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME

Constructs a nGram dictionary from an ObjectStream of samples.

BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser

Label used to distinguish build nodes from non-built nodes.

ByteArraySerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for binary data, kept in byte[].

ByteArraySerializer() - Constructor for class opennlp.tools.util.model.ByteArraySerializer

C

Cache<K,V> - Class in opennlp.tools.util

Provides fixed size, pre-allocated, least recently used replacement cache.

Cache(int) - Constructor for class opennlp.tools.util.Cache

CachedFeatureGenerator - Class in opennlp.tools.util.featuregen

Caches features of the aggregated generators.

CachedFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator

CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator

Deprecated.

CachedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces CachedFeatureGenerator instances when CachedFeatureGeneratorFactory.create() is called.

CachedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory

calculateBigramMLProbability(String, String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a bigram in a vocabulary using maximum likelihood estimation

calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm

calculateChecksum() - Method in class opennlp.tools.ml.model.ChecksumEventStream

Calculates and returns the (current) checksum.

calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm

calculateMissingNgramProbabilityMass(StringList, double, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm

calculateNgramMLProbability(StringList, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a ngram in a vocabulary using maximum likelihood estimation

calculateProbability(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel

Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.

calculateProbability(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel

calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm

calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a trigram in a vocabulary using maximum likelihood estimation

calculateUnigramMLProbability(String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils

calculate the probability of a unigram in a vocabulary using maximum likelihood estimation

CATALAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

catalanStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

catalanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.catalanStemmer

categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Categorizes the given text, provided in separate tokens.

categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

categorize(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Categorizes the given text provided as tokens along with the provided extraInformation.

categorize(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.DocumentCategorizerME

Categorize the given text provided as tokens along with the provided extra information.

CensusDictionaryCreatorTool - Class in opennlp.tools.cmdline.namefind

This tool helps create a loadable dictionary for the NameFinder, from data collected from US Census data.

CensusDictionaryCreatorTool() - Constructor for class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool

CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen

The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.

CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator

Initializes a CharacterNgramFeatureGenerator with default values for ngrams.

CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator

Initializes a CharacterNgramFeatureGenerator with the specified parameters.

CharacterNgramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces CharacterNgramFeatureGenerator instances when CharacterNgramFeatureGeneratorFactory.create() is called.

CharacterNgramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory

characters(char[], int, int) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler

characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler

characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler

Handles a set of characters between SGML start and end tag.

CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer

A char sequence normalizer, used to adjusting (prune, substitute, add, etc.)

CHECK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

CheckContextGenerator - Class in opennlp.tools.parser.chunking

Generates predictive context for deciding when a constituent is complete.

CheckContextGenerator - Class in opennlp.tools.parser.treeinsert

Generates predictive context for deciding when a constituent is complete.

CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator

Instantiates a CheckContextGenerator for generating predictive context for deciding when a constituent is complete.

CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator

Instantiates a CheckContextGenerator for making decisions using a punctSet.

checkModelType() - Method in class opennlp.tools.ml.maxent.io.GISModelReader

checkModelType() - Method in class opennlp.tools.ml.maxent.io.QNModelReader

checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader

Checks the model type via the the underlying DataReader.

checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader

checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader

Reads the mode type from the underlying reader and informs if it not a Naive Bayes model.

checkModelType() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader

Reads the mode type from the underlying reader and informs if it not a Perceptron model.

CheckModelUpdaterTool - Class in opennlp.tools.cmdline.parser

Trains a new check model.

CheckModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.CheckModelUpdaterTool

ChecksumEventStream - Class in opennlp.tools.ml.model

A Checksum-based event stream implementation.

ChecksumEventStream(ObjectStream<Event>) - Constructor for class opennlp.tools.ml.model.ChecksumEventStream

Initializes an ChecksumEventStream.

chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker

Generates chunk tags for the given sequence returning the result in an array.

chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME

chunk(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME

CHUNK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

Deprecated.

chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker

Generates tagged chunk spans for the given sequence returning the result in a span array.

chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME

chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME

ChunkContextGenerator - Class in opennlp.tools.parser

Creates predictive context for the pre-chunking phases of parsing.

ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator

Initializes a ChunkContextGenerator instance.

ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator

Initializes a ChunkContextGenerator instance with a custom cacheSize.

Chunker - Interface in opennlp.tools.chunker

The interface for chunkers which provide chunk tags for a sequence of tokens.

CHUNKER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

ChunkerContextGenerator - Interface in opennlp.tools.chunker

Interface for a BeamSearchContextGenerator used in syntactic chunking.

ChunkerConverterTool - Class in opennlp.tools.cmdline.chunker

Tool to convert multiple data formats into native OpenNLP chunker training format.

ChunkerConverterTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerConverterTool

ChunkerCrossValidator - Class in opennlp.tools.chunker

Cross validator for Chunker.

ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator

Initializes a ChunkerCrossValidator instance via given parameters.

ChunkerCrossValidatorTool - Class in opennlp.tools.cmdline.chunker

ChunkerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool

ChunkerDetailedFMeasureListener - Class in opennlp.tools.cmdline.chunker

ChunkerDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener

ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker

A marker interface for evaluating chunkers.

ChunkerEvaluator - Class in opennlp.tools.chunker

The ChunkerEvaluator measures the performance of the given Chunker with the provided reference samples.

ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator

Initializes a ChunkerEvaluator instance with the given Chunker.

ChunkerEvaluatorTool - Class in opennlp.tools.cmdline.chunker

A default ChunkSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

ChunkerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool

ChunkerEventStream - Class in opennlp.tools.chunker

Class for creating an event stream out of data files for training a Chunker.

ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream

Creates a new event stream based on the specified data stream using the given context generator.

ChunkerFactory - Class in opennlp.tools.chunker

ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory

Creates a ChunkerFactory that provides the default implementation of the resources.

ChunkerME - Class in opennlp.tools.chunker

The class represents a maximum-entropy-based Chunker.

ChunkerME(String) - Constructor for class opennlp.tools.chunker.ChunkerME

Initializes a Chunker by downloading a default model.

ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME

Initializes a Chunker with the specified ChunkerModel.

ChunkerMETool - Class in opennlp.tools.cmdline.chunker

ChunkerMETool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerMETool

ChunkerModel - Class in opennlp.tools.chunker

The ChunkerModel is the model used by a learnable Chunker.

ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via a valid File.

ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via a valid InputStream.

ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via given parameters.

ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via given parameters.

ChunkerModel(String, MaxentModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via given parameters.

ChunkerModel(String, SequenceClassificationModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via given parameters.

ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via a valid URL.

ChunkerModel(Path) - Constructor for class opennlp.tools.chunker.ChunkerModel

Initializes a ChunkerModel instance via a valid Path.

ChunkerModelLoader - Class in opennlp.tools.cmdline.chunker

Loads a ChunkerModel for the command line tools.

ChunkerModelLoader() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerModelLoader

ChunkerModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer

ChunkerSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP ChunkSampleStreams.

ChunkerSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

ChunkerTrainerTool - Class in opennlp.tools.cmdline.chunker

ChunkerTrainerTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerTrainerTool

ChunkEvaluationErrorListener - Class in opennlp.tools.cmdline.chunker

A default implementation of EvaluationMonitor that prints to an output stream.

ChunkEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener

Creates a listener that will print to the configured logger.

ChunkEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener

Creates a listener that will print to a given OutputStream

CHUNKING - Enum constant in enum class opennlp.tools.parser.ParserType

ChunkSample - Class in opennlp.tools.chunker

Class for holding chunks for a single unit of text.

ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample

Initializes a ChunkSample instance.

ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample

Initializes a ChunkSample instance.

ChunkSampleSequenceStream - Class in opennlp.tools.chunker

A SequenceStream implementation encapsulating samples.

ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkSampleSequenceStream

Creates a ChunkSampleSequenceStream with given samples using a ChunkerContextGenerator.

ChunkSampleStream - Class in opennlp.tools.chunker

Parses the conll 2000 shared task shallow parser training data.

ChunkSampleStream - Class in opennlp.tools.parser

ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream

Initializes a instance.

ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream

Initializes a instance.

clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder

clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator

Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.

clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME

clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder

clearAdaptiveData() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME

clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder

Forgets all adaptive data which was collected during previous calls to one of the find methods.

clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Informs a feature generator that the context of the adaptive data (typically a document) is no longer valid.

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Calls the AdaptiveFeatureGenerator.clearAdaptiveData() method on all aggregated feature generators.

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator

clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator

clone() - Method in class opennlp.tools.parser.Parse

clone(Parse) - Method in class opennlp.tools.parser.Parse

Clones the right frontier of Parse up to the specified node.

cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse

Clones the right frontier of this root Parse up to and including the specified node.

close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

close() - Method in class opennlp.tools.chunker.ThreadSafeChunkerME

close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream

close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream

close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream

close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream

close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream

close() - Method in class opennlp.tools.formats.brat.BratAnnotationStream

close() - Method in class opennlp.tools.formats.brat.BratDocumentStream

close() - Method in class opennlp.tools.formats.Conll02NameSampleStream

close() - Method in class opennlp.tools.formats.Conll03NameSampleStream

close() - Method in class opennlp.tools.formats.conllu.ConlluStream

close() - Method in class opennlp.tools.formats.DirectorySampleStream

Closes the ObjectStream and releases all allocated resources.

close() - Method in class opennlp.tools.formats.EvalitaNameSampleStream

close() - Method in class opennlp.tools.formats.masc.MascDocumentStream

Remove the corpus from the memory.

close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream

close() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

close() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

close() - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

close() - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

close() - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Closes the underlying DataOutputStream.

close() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream

close() - Method in class opennlp.tools.ml.model.AbstractModelWriter

Closes the underlying DataOutputStream.

close() - Method in class opennlp.tools.ml.model.FileEventStream

close() - Method in class opennlp.tools.ml.model.GenericModelWriter

close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

close() - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream

close() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME

close() - Method in class opennlp.tools.postag.POSSampleSequenceStream

close() - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

close() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

close() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME

close() - Method in class opennlp.tools.tokenize.TokenizerStream

close() - Method in class opennlp.tools.util.AbstractEventStream

close() - Method in class opennlp.tools.util.AbstractObjectStream

close() - Method in class opennlp.tools.util.CollectionObjectStream

close() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream

close() - Method in class opennlp.tools.util.FilterObjectStream

close() - Method in class opennlp.tools.util.model.UncloseableInputStream

This method does not have any effect, as the InputStream cannot be closed.

close() - Method in interface opennlp.tools.util.ObjectStream

Closes the ObjectStream and releases all allocated resources.

close() - Method in class opennlp.tools.util.PlainTextByLineStream

collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser

Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.

CollectionObjectStream<E> - Class in opennlp.tools.util

An ObjectStream implementation that works on a Collection of CollectionObjectStream as source for elements.

CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream

ComparableEvent - Class in opennlp.tools.ml.model

A maxent event representation which we can use to sort based on the predicates indexes contained in the events.

ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent

ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent

ComparablePredicate - Class in opennlp.tools.ml.model

A maxent predicate representation which we can use to sort based on the outcomes.

ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate

compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent

compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate

compareTo(Parse) - Method in class opennlp.tools.parser.Parse

compareTo(Sequence) - Method in class opennlp.tools.util.Sequence

compareTo(Span) - Method in class opennlp.tools.util.Span

Compares the specified Span to the current span.

compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList

Compares to token list and ignores the case of the tokens.

complete() - Method in class opennlp.tools.parser.Parse

COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Outcome used when a constituent is complete.

computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil

Computes the Shortest Edit Script (SES) to convert a word into its lemma.

concatenateObjectStream(Collection<ObjectStream<T>>) - Static method in class opennlp.tools.util.ObjectStreamUtils

Creates a single concatenated ObjectStream from multiple individual streams with the same type ObjectStreamUtils.

concatenateObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils

Creates a single concatenated ObjectStream from multiple individual streams with the same type.

ConfigurablePOSContextGenerator - Class in opennlp.tools.postag

A configurable context generator for a POSTagger.

ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator

Initializes a ConfigurablePOSContextGenerator instance.

ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator

Initializes a ConfigurablePOSContextGenerator instance.

Conll02NameSampleStream - Class in opennlp.tools.formats

Parser for the Dutch and Spanish ner training files of the CONLL 2002 shared task.

Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream

Initializes a Conll02NameSampleStream.

Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream

Initializes a Conll02NameSampleStream.

Conll02NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats

Conll02NameSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

Conll02NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

Conll03NameSampleStream - Class in opennlp.tools.formats

An import stream which can parse the CONLL03 data.

Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream

Initializes a Conll03NameSampleStream.

Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream

Initializes a Conll03NameSampleStream.

Conll03NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats

Conll03NameSampleStreamFactory - Class in opennlp.tools.formats

Conll03NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory

ConlluLemmaSampleStream - Class in opennlp.tools.formats.conllu

ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluLemmaSampleStream

Initializes a ConlluLemmaSampleStream.

ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu

Note: Do not use this class, internal use only!

ConlluLemmaSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu

ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu

ConlluPOSSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluPOSSampleStream

Initializes a ConlluPOSSampleStream.

ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu

Note: Do not use this class, internal use only!

ConlluPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu

ConlluSentence - Class in opennlp.tools.formats.conllu

ConlluSentence(List<ConlluWordLine>, String, String, boolean, String, boolean, String, Map<Locale, String>, String) - Constructor for class opennlp.tools.formats.conllu.ConlluSentence

ConlluSentenceSampleStream - Class in opennlp.tools.formats.conllu

ConlluSentenceSampleStream(ObjectStream<ConlluSentence>, int) - Constructor for class opennlp.tools.formats.conllu.ConlluSentenceSampleStream

Initializes a ConlluSentenceSampleStream.

ConlluSentenceSampleStreamFactory - Class in opennlp.tools.formats.conllu

Note: Do not use this class, internal use only!

ConlluSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu

ConlluStream - Class in opennlp.tools.formats.conllu

The CoNNL-U Format is specified here.

ConlluStream(InputStreamFactory) - Constructor for class opennlp.tools.formats.conllu.ConlluStream

Initializes a ConlluStream.

ConlluTagset - Enum Class in opennlp.tools.formats.conllu

ConlluTokenSampleStream - Class in opennlp.tools.formats.conllu

ConlluTokenSampleStream(ObjectStream<ConlluSentence>) - Constructor for class opennlp.tools.formats.conllu.ConlluTokenSampleStream

Initializes a ConlluTokenSampleStream.

ConlluTokenSampleStreamFactory - Class in opennlp.tools.formats.conllu

Note: Do not use this class, internal use only!

ConlluTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu

ConlluWordLine - Class in opennlp.tools.formats.conllu

CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory

ConllXPOSSampleStream - Class in opennlp.tools.formats

Parses the data from the CONLL 06 shared task into POS Samples.

ConllXPOSSampleStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream

Initializes a ConllXPOSSampleStream.

ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream

Initializes a ConllXPOSSampleStream.

ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

ConllXPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

ConllXSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

ConllXTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

Cons - Class in opennlp.tools.parser

Holds feature information about a specific Parse node.

Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons

ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank

ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank

Note: Do not use this class, internal use only!

Constituent - Class in opennlp.tools.parser

Holds constituents when reading parses.

Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent

constructModel() - Method in class opennlp.tools.ml.maxent.io.GISModelReader

Retrieves a model from disk.

constructModel() - Method in class opennlp.tools.ml.maxent.io.QNModelReader

Retrieves a model from disk.

constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader

Constructs a model.

constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader

constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader

Constructs a model.

constructModel() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader

Constructs a model.

CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Prefix for outcomes continuing a constituent.

contains(int) - Method in class opennlp.tools.ml.model.MutableContext

contains(int) - Method in class opennlp.tools.util.Span

An index with the value of end is considered outside the Span.

contains(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel

Checks if the given ngram is contained in a NGramCharModel.

contains(String) - Method in class opennlp.tools.dictionary.Index

Checks if at least one StringList contains the specified token.

contains(Span) - Method in class opennlp.tools.util.Span

Identical spans are considered to contain each other.

contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary

Checks if this dictionary has the given entry.

contains(StringList) - Method in class opennlp.tools.ngram.NGramModel

Checks fit he given tokens are contained by the current instance.

containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern

containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern

containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern

containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern

containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern

containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern

ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler

context() - Method in record class opennlp.tools.langdetect.LanguageSample

Returns the value of the context record component.

Context - Class in opennlp.tools.ml.model

Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.

Context(int[], double[]) - Constructor for class opennlp.tools.ml.model.Context

Creates a new parameters object with the specified parameters associated with the specified outcome pattern.

ContextGenerator<T> - Interface in opennlp.tools.ml.maxent

Represents a generator of contexts for maxent decisions.

CONTINUE - Static variable in class opennlp.tools.namefind.BilouCodec

CONTINUE - Static variable in class opennlp.tools.namefind.BioCodec

CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME

CONVERGE_TOLERANCE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream

convertTag(String) - Method in class opennlp.tools.postag.POSTagFormatMapper

Converts a given tag to the specified format.

convertTag(String) - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp

convertTags(List<String>) - Method in class opennlp.tools.postag.POSTagFormatMapper

Converts a list of tags to the specified format.

convertTags(List<String>) - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp

correctlyClassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener

correctlyClassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener

correctlyClassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener

correctlyClassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

correctlyClassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor

count() - Method in class opennlp.tools.util.eval.Mean

create() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory

create() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory

create(InputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer

create(InputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary

Creates a new POSDictionary from an InputStream.

create(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer

create(InputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer

create(InputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer

Creates an artifact from the provided InputStream.

create(InputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer

create(InputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer

create(InputStream) - Method in class opennlp.tools.util.model.DictionarySerializer

create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer

create(InputStream) - Method in class opennlp.tools.util.model.POSModelSerializer

create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Creates Entrys from the given InputStream and forwards these Entrys to the EntryInserter.

create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory

Creates an AdaptiveFeatureGenerator from an provided XML descriptor.

create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory

Instantiates a BaseToolFactory via a given subclassName.

create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory

Instantiates a ChunkerFactory via a given subclassName.

create(String) - Static method in class opennlp.tools.langdetect.LanguageDetectorFactory

Instantiates a LanguageDetectorFactory via a given subclassName.

create(String) - Static method in class opennlp.tools.lemmatizer.LemmatizerFactory

Instantiates a LemmatizerFactory via a given subclassName.

create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory

create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.LemmatizerSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory

create(String[]) - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory

create(String[]) - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory

create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory

create(String[], String[]) - Static method in record class opennlp.tools.util.TokenTag

create(String, byte[], Map<String, Object>, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory

Instantiates a POSTaggerFactory via a given subclassName.

create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a TokenNameFinderFactory instance via given parameters.

create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory

Instantiates a SentenceDetectorFactory via a given subclassName.

create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory

Factory method the framework uses instantiate a new TokenizerFactory.

create(String, FeatureGenerator[]) - Static method in class opennlp.tools.doccat.DoccatFactory

Factory method the framework uses create a new DoccatFactory.

create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory

Instantiates a BaseToolFactory via a given subclassName.

create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory

Instantiates a Parser via a given model and default configuration parameters (see: AbstractBottomUpParser).

create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory

Instantiates a Parser via a given model and other configuration parameters.

createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory

createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory

createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory

A model's implementation should call this constructor that creates a model programmatically.

createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel

Create the serializers.

createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory

createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory

Creates a Map with pairs of keys and ArtifactSerializer.

createContextGenerator() - Method in class opennlp.tools.namefind.TokenNameFinderFactory

Creates and configures a new NameContextGenerator in a default combination.

createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil

Creates the default TrainingParameters in case they are not provided.

createDictionary(ObjectStream<StringList>) - Static method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool

Creates a dictionary.

createDocumentBuilder() - Static method in class opennlp.tools.util.XmlUtil

Create a new DocumentBuilder which processes XML securely.

createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory

createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory

createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory

createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderFactory

Creates the AdaptiveFeatureGenerator.

createFeatureGenerators() - Method in class opennlp.tools.postag.POSTaggerFactory

Creates the AdaptiveFeatureGenerator.

createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Adds the appropriate features for the token at the specified index with the specified array of previousOutcomes to the specified list of features.

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Calls the AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[]) method on all aggregated feature generators.

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.InSpanGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator

Generates previous decision features for the token based on contents of the previous map.

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGenerator

createInputStream() - Method in interface opennlp.tools.util.InputStreamFactory

createInputStream() - Method in class opennlp.tools.util.MarkableFileInputStreamFactory

createManifestEntries() - Method in class opennlp.tools.doccat.DoccatFactory

createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory

createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory

createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils

Creates an ObjectStream form a Collection<T>.

createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils

Creates an ObjectStream form an array of ObjectStreamUtils.

createSaxParser() - Static method in class opennlp.tools.util.XmlUtil

Create a new SAXParser which processes XML securely.

createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory

createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory

createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory

createSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderFactory

createSequenceValidator() - Method in class opennlp.tools.namefind.BilouCodec

createSequenceValidator() - Method in class opennlp.tools.namefind.BioCodec

createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec

createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory

Initializes a TagDictionary from a dictionary file.

createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory

Initializes a TagDictionary from a dictionary stream.

createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory

Initializes a customized TokenContextGenerator via a set of abbreviations.

crosses(Span) - Method in class opennlp.tools.util.Span

Checks if the specified Span crosses this span.

CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval

Provides access to training and test partitions for n-fold cross validation.

CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner

Initializes CrossValidationPartitioner instance.

CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner

Initializes CrossValidationPartitioner instance.

CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval

The CrossValidationPartitioner.TrainingSampleStream which iterates over all training elements.

currentVersion() - Static method in class opennlp.tools.util.Version

CUSTOM - Enum constant in enum class opennlp.tools.postag.POSTagFormat

cutoff(int, int) - Method in class opennlp.tools.ngram.NGramCharModel

Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.

cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel

Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.

CUTOFF_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters

The default cut off value is 5.

CUTOFF_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

CVParams - Interface in opennlp.tools.cmdline.params

Common cross validator parameters.

D

DANISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

danishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

danishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.danishStemmer

DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer

DataIndexer - Interface in opennlp.tools.ml.model

Represents an indexer which compresses events in memory and performs feature selection.

DataIndexerFactory - Class in opennlp.tools.ml.model

A factory that produces DataIndexer instances.

DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory

DataReader - Interface in opennlp.tools.ml.model

Describes generic ways to read data from a DataInputStream.

DataStream - Interface in opennlp.tools.ml.maxent

An interface for objects which can deliver a stream of training data to be supplied to an EventStream.

DE - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec

decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec

decode(List<T>) - Method in interface opennlp.tools.util.SequenceCodec

Decodes a sequence of objects into Span objects.

decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME

Decodes the lemma from the word and the induced lemma class.

decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil

Reads the predicted Shortest Edit Script (SES) by a lemmatizer model and applies the permutations to obtain the lemma from the wordForm.

DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory

DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME

DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.lemmatizer.LemmatizerME

DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME

DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME

The default beam size value is 3.

DEFAULT_CHUNK_SIZE - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig

DEFAULT_LANGUAGE_DETECTOR_CONFIG - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig

DEFAULT_MAX_LENGTH - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig

DEFAULT_MIN_CONSEC_IMPROVEMENTS - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig

DEFAULT_MIN_DIFF - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig

DEFAULT_PREFIX - Static variable in interface opennlp.tools.util.SequenceCodec

DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample

DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample

The default type value when there is no type in training data.

defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

The default amount of probability mass required of advanced outcomes.

defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

The default beam size used if no beam size is given.

DefaultChunkerContextGenerator - Class in opennlp.tools.chunker

Features based on chunking model described in Fei Sha and Fernando Pereira.

DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator

Initializes a DefaultChunkerContextGenerator instance.

DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker

The default chunker SequenceValidator implementation.

DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator

DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect

Default implementation of the EndOfSentenceScanner.

DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

Initializes the current instance.

defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

DefaultLanguageDetectorContextGenerator - Class in opennlp.tools.langdetect

A context generator for language detector.

DefaultLanguageDetectorContextGenerator(int, int, CharSequenceNormalizer...) - Constructor for class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator

Creates a customizable DefaultLanguageDetectorContextGenerator that computes ngrams from text.

DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer

Simple feature generator for learning statistical lemmatizers.

DefaultLemmatizerContextGenerator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator

DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer

The default lemmatizer SequenceValidator implementation.

DefaultLemmatizerSequenceValidator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator

DefaultNameContextGenerator - Class in opennlp.tools.namefind

A NameContextGenerator implementation for determining contextual features for a tag-chunk style named-entity recognizer.

DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator

Creates a name context generator with the specified feature generators.

defaultParams() - Static method in class opennlp.tools.util.TrainingParameters

DefaultPOSContextGenerator - Class in opennlp.tools.postag

A default context generator for a POSTagger.

DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator

Initializes a DefaultPOSContextGenerator instance.

DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator

Initializes a DefaultPOSContextGenerator instance.

DefaultPOSSequenceValidator - Class in opennlp.tools.postag

The default POS tagger SequenceValidator implementation.

DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator

DefaultSDContextGenerator - Class in opennlp.tools.sentdetect

Generate event contexts for maxent decisions for sentence detection.

DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator

Creates a new instance with no induced abbreviations.

DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator

Creates a new SDContextGenerator instance which uses the set of induced abbreviations.

DefaultTokenContextGenerator - Class in opennlp.tools.tokenize

A default TokenContextGenerator which produces events for maxent decisions for tokenization.

DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator

Initializes a plain DefaultTokenContextGenerator instance.

DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator

Initializes a customized DefaultTokenContextGenerator instance via a set of inducedAbbreviations.

DefinitionFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces OutcomePriorFeatureGenerator instances when DefinitionFeatureGeneratorFactory.create() is called.

DefinitionFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory

DEGREES_MIN_SEC_LAT_LON - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

DetokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer

A default implementation of EvaluationMonitor that prints to an output stream.

DetokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener

Creates a listener that will print to the configured logger.

DetokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

DetokenizationDictionary - Class in opennlp.tools.tokenize

DetokenizationDictionary(File) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary

Initializes a DetokenizationDictionary instance via a valid File.

DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary

Initializes a DetokenizationDictionary instance via a valid InputStream.

DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary

Initializes a DetokenizationDictionary instance.

DetokenizationDictionary(Path) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary

Initializes a DetokenizationDictionary instance via a valid Path.

DetokenizationDictionary.Operation - Enum Class in opennlp.tools.tokenize

detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer

Detokenizes the collection of tokens.

detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer

detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer

Detokenizes the input tokens into a String.

detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer

Detokenizer - Interface in opennlp.tools.tokenize

A Detokenizer merges tokens back to their detokenized representation.

Detokenizer.DetokenizationOperation - Enum Class in opennlp.tools.tokenize

This enum contains an operation for every token to merge the tokens together to their detokenized form.

DetokenizerEvaluator - Class in opennlp.tools.tokenize

The DetokenizerEvaluator measures the performance of the given Detokenizer with the provided reference samples.

DetokenizerEvaluator(Detokenizer, DetokenEvaluationErrorListener...) - Constructor for class opennlp.tools.tokenize.DetokenizerEvaluator

Initializes the current instance with the given Detokenizer.

DetokenizerParameter - Interface in opennlp.tools.cmdline.params

DetokenizerSampleStreamFactory<T,P> - Class in opennlp.tools.formats

Base class for factories which need a Detokenizer.

DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt

DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Constructor for class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream

Initializes a DetokenizeSentenceSampleStream.

DEV_VERSION - Static variable in class opennlp.tools.util.Version

Dictionary - Class in opennlp.tools.dictionary

An iterable and serializable dictionary implementation.

Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary

Initializes an empty Dictionary.

Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary

Initializes an empty Dictionary.

Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary

Initializes the Dictionary from an existing dictionary resource.

DictionaryBuilderTool - Class in opennlp.tools.cmdline.dictionary

DictionaryBuilderTool() - Constructor for class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool

DictionaryDetokenizer - Class in opennlp.tools.tokenize

A rule based detokenizer.

DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer

Initializes a DictionaryDetokenizer instance.

DictionaryDetokenizerTool - Class in opennlp.tools.cmdline.tokenizer

DictionaryDetokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool

DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer

A persistor used by for reading and writing dictionaries of all kinds.

DictionaryEntryPersistor() - Constructor for class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen

The DictionaryFeatureGenerator uses a DictionaryNameFinder to generate features for detected names based on the InSpanGenerator.

DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

Initializes a DictionaryFeatureGenerator with the specified parameters.

DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

Initializes a DictionaryFeatureGenerator with the specified Dictionary.

DictionaryFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces DictionaryFeatureGenerator instances when DictionaryFeatureGeneratorFactory.create() is called.

DictionaryFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory

DictionaryLemmatizer - Class in opennlp.tools.lemmatizer

A Lemmatizer implementation that works by simple dictionary lookup into a Map built from a file containing, for each line:

DictionaryLemmatizer(File) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryLemmatizer(File, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryLemmatizer(InputStream, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryLemmatizer(Path) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryNameFinder - Class in opennlp.tools.namefind

This is a Dictionary based name finder.

DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder

Initializes a DictionaryNameFinder with the provided Dictionary and DictionaryNameFinder.DEFAULT_TYPE.

DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder

Initializes a DictionaryNameFinder with the provided Dictionary and a type.

DictionarySerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for dictionaries.

DictionarySerializer() - Constructor for class opennlp.tools.util.model.DictionarySerializer

digits() - Method in class opennlp.tools.util.featuregen.StringPattern

Retrieves the number of digits.

dimension() - Method in interface opennlp.tools.util.wordvector.WordVector

dimension() - Method in interface opennlp.tools.util.wordvector.WordVectorTable

DirectorySampleStream - Class in opennlp.tools.formats

The directory sample stream allows for creating an ObjectStream<File> from a directory listing of files.

DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream

Initializes a DirectorySampleStream.

DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream

Initializes a DirectorySampleStream.

discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

DoccatConverterTool - Class in opennlp.tools.cmdline.doccat

Tool to convert multiple data formats into native OpenNLP doccat training format.

DoccatConverterTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatConverterTool

DoccatCrossValidator - Class in opennlp.tools.doccat

Cross validator for DocumentCategorizer.

DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator

Instantiates a DoccatCrossValidator with the given generators.

DoccatCrossValidatorTool - Class in opennlp.tools.cmdline.doccat

DoccatCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool

DoccatEvaluationErrorListener - Class in opennlp.tools.cmdline.doccat

A default implementation of EvaluationMonitor that prints to an output stream.

DoccatEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener

Creates a listener that will print to the configured logger.

DoccatEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener

Creates a listener that will print to a given OutputStream

DoccatEvaluationMonitor - Interface in opennlp.tools.doccat

A marker interface for evaluating doccat.

DoccatEvaluatorTool - Class in opennlp.tools.cmdline.doccat

A default DocumentSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

DoccatEvaluatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool

DoccatFactory - Class in opennlp.tools.doccat

The factory that provides Doccat default implementations and resources.

DoccatFactory() - Constructor for class opennlp.tools.doccat.DoccatFactory

Instantiates a DoccatFactory that provides the default implementation of the resources.

DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory

Instantiates a DoccatFactory that provides the default implementation of the resources.

DoccatFineGrainedReportListener - Class in opennlp.tools.cmdline.doccat

Generates a detailed report for the POS Tagger.

DoccatFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener

Creates a listener that will print to the configured logger.

DoccatFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener

Creates a listener that prints to a given OutputStream

DoccatModel - Class in opennlp.tools.doccat

A model for document categorization

DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel

Initializes a DoccatModel instance via a valid File.

DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel

Initializes a DoccatModel instance via a valid InputStream.

DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel

Initializes a DoccatModel instance via given parameters.

DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel

Initializes a DoccatModel instance via a valid URL.

DoccatModel(Path) - Constructor for class opennlp.tools.doccat.DoccatModel

Initializes a DoccatModel instance via a valid Path.

DoccatModelLoader - Class in opennlp.tools.cmdline.doccat

Loads a DoccatModel for the command line tools.

DoccatModelLoader() - Constructor for class opennlp.tools.cmdline.doccat.DoccatModelLoader

DoccatTool - Class in opennlp.tools.cmdline.doccat

DoccatTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTool

DoccatTrainerTool - Class in opennlp.tools.cmdline.doccat

DoccatTrainerTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTrainerTool

doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch

Conducts a constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al. 2007)

DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream

DOCSTART - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream

DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen

This feature generator creates document begin features.

DocumentBeginFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator

DocumentBeginFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces DocumentBeginFeatureGenerator instances when DocumentBeginFeatureGeneratorFactory.create() is called.

DocumentBeginFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory

DocumentCategorizer - Interface in opennlp.tools.doccat

Interface for classes which categorize documents.

DocumentCategorizerEvaluator - Class in opennlp.tools.doccat

The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference samples.

DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator

Initializes a DocumentCategorizerEvaluator instance.

DocumentCategorizerEventStream - Class in opennlp.tools.doccat

Iterator-like class for modeling document classification events.

DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream

Initializes a DocumentCategorizerEventStream via samples.

DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream

Initializes a DocumentCategorizerEventStream via samples and feature generators.

DocumentCategorizerME - Class in opennlp.tools.doccat

A Max-Ent based implementation of DocumentCategorizer.

DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME

Initializes a DocumentCategorizerME instance with a doccat model.

DocumentNameFinder - Interface in opennlp.tools.namefind

Interface for processing an entire document allowing a TokenNameFinder to use context from the entire document.

DocumentSample - Class in opennlp.tools.doccat

Class which holds a classified document and its category.

DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample

Initializes a instance.

DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample

Initializes a instance.

DocumentSampleStream - Class in opennlp.tools.doccat

Reads in string encoded training samples, parses them and outputs DocumentSample objects.

DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream

Initializes a instance.

DocumentSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP DocumentSampleStreams.

DocumentSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

DocumentToLineStream - Class in opennlp.tools.formats.ontonotes

Reads a plain text file and return each line as a String object.

DocumentToLineStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.DocumentToLineStream

Initializes a DocumentToLineStream.

doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch

Conducts a backtracking line search.

DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser

Outcome used when a constituent needs an no additional parent node/building.

doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer

doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

doTrain(DataIndexer) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

DOUBLE - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType

downloadModel(String, DownloadUtil.ModelType, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil

Triggers a download for the specified DownloadUtil.ModelType.

downloadModel(URL, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil

Downloads a model from a URL.

DownloadUtil - Class in opennlp.tools.util

This class facilitates the downloading of pretrained OpenNLP models.

DownloadUtil() - Constructor for class opennlp.tools.util.DownloadUtil

DownloadUtil.ModelType - Enum Class in opennlp.tools.util

The type of model.

dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME

Removes spans with are intersecting or crossing in any way.

DUTCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

dutchStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

dutchStemmer() - Constructor for class opennlp.tools.stemmer.snowball.dutchStemmer

DynamicEvalParameters - Class in opennlp.tools.ml.model

DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters

Creates a set of parameters which can be evaluated with the eval method.

E

EMAIL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A EmojiCharSequenceNormalizer implementation that normalizes text in terms of emojis.

EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer

EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect

ObjectStream to clean up empty lines for empty line separated document streams.
- Skips empty line at training data start
- Transforms multiple empty lines in a row into one
- Replaces white space lines with empty lines
- TODO: Terminates last document with empty line if it is missing

This stream should be used by the components that mark empty lines to mark document boundaries.

EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream

EN - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec

encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec

encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec

Encodes Span objects into a sequence of objects.

encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME

Encodes the word given its lemmas.

EncodingParameter - Interface in opennlp.tools.cmdline.params

Encoding parameter.

END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream

endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler

endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler

Handles a SGML end element.

endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler

endElement(String, String, String) - Method in class opennlp.tools.formats.masc.MascPennTagParser

EndOfSentenceScanner - Interface in opennlp.tools.sentdetect

Scans CharSequence, StringBuffer, and char[] for the offsets of sentence ending characters.

ENGLISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

englishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

englishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.englishStemmer

ENTITY_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration

EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker

EntityLinkers establish connections with external data to enrich extracted entities.

EntityLinkerFactory - Class in opennlp.tools.entitylinker

Generates a EntityLinker instances via a properties file configuration.

EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory

EntityLinkerProperties - Class in opennlp.tools.entitylinker

Properties wrapper for EntityLinker implementations.

EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties

Initializes EntityLinkerProperties via a File reference.

EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties

Initializes EntityLinkerProperties via a InputStream reference.

EntityLinkerTool - Class in opennlp.tools.cmdline.entitylinker

EntityLinkerTool() - Constructor for class opennlp.tools.cmdline.entitylinker.EntityLinkerTool

Entry - Record Class in opennlp.tools.dictionary.serializer

An Entry is a StringList which can optionally be mapped to attributes.

Entry(StringList, Attributes) - Constructor for record class opennlp.tools.dictionary.serializer.Entry

Creates an instance of a Entry record class.

EntryInserter - Interface in opennlp.tools.dictionary.serializer

eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator

equals(Object) - Method in class opennlp.tools.chunker.ChunkSample

equals(Object) - Method in class opennlp.tools.dictionary.Dictionary

equals(Object) - Method in record class opennlp.tools.dictionary.serializer.Entry

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class opennlp.tools.doccat.DocumentSample

equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink

equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan

equals(Object) - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class opennlp.tools.langdetect.Language

equals(Object) - Method in record class opennlp.tools.langdetect.LanguageSample

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample

equals(Object) - Method in class opennlp.tools.ml.maxent.GISModel

equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel

equals(Object) - Method in class opennlp.tools.ml.model.ComparableEvent

equals(Object) - Method in class opennlp.tools.ml.model.ComparablePredicate

equals(Object) - Method in class opennlp.tools.ml.model.Context

equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters

equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior

equals(Object) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

equals(Object) - Method in class opennlp.tools.namefind.NameSample

equals(Object) - Method in class opennlp.tools.ngram.NGramCharModel

equals(Object) - Method in class opennlp.tools.ngram.NGramModel

equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules

equals(Object) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

equals(Object) - Method in class opennlp.tools.parser.Parse

equals(Object) - Method in class opennlp.tools.parser.ParserModel

equals(Object) - Method in class opennlp.tools.postag.POSDictionary

equals(Object) - Method in class opennlp.tools.postag.POSModel

equals(Object) - Method in class opennlp.tools.postag.POSSample

equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample

equals(Object) - Method in class opennlp.tools.stemmer.snowball.arabicStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.catalanStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.danishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.dutchStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.englishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.finnishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.frenchStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.germanStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.greekStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.irishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.italianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.porterStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.romanianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.russianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.spanishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.swedishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.turkishStemmer

equals(Object) - Method in class opennlp.tools.tokenize.TokenizerModel

equals(Object) - Method in class opennlp.tools.tokenize.TokenSample

equals(Object) - Method in class opennlp.tools.util.Sequence

equals(Object) - Method in class opennlp.tools.util.Span

equals(Object) - Method in class opennlp.tools.util.StringList

equals(Object) - Method in record class opennlp.tools.util.TokenTag

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in class opennlp.tools.util.Version

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel

Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

Evaluates a NaiveBayesModel.

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel

Evaluates a PerceptronModel.

eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel

Evaluates a context and return an array of the likelihood of each outcome given that context.

eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

Evaluates a context.

eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a context.

eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

Evaluates a context.

eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

Evaluates a context.

eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel

Evaluates a context.

eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

Evaluates a context.

eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a context.

eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

Evaluates a context.

eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

Evaluates a context.

eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel

Evaluates a context with the specified context values.

eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

Evaluates a context with the specified context values.

eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a context with the specified context values.

eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

Evaluates a context with the specified context values.

eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

Evaluates a context with the specified context values.

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel

Evaluates a context and return an array of the likelihood of each outcome given that context.

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

EvalitaNameSampleStream - Class in opennlp.tools.formats

Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.

EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream

EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream

EvalitaNameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats

EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

EvalitaNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

EvalParameters - Class in opennlp.tools.ml.model

This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.

EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters

evaluate(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator

Measure quality of the training parameters.

evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator

Starts the evaluation.

evaluate(ObjectStream<DocumentSample>, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator

Starts the evaluation.

evaluate(ObjectStream<LanguageSample>, int) - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Starts the evaluation.

evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator

Starts the evaluation.

evaluate(ObjectStream<Parse>, int) - Method in class opennlp.tools.parser.ParserCrossValidator

Starts the evaluation.

evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator

Starts the evaluation.

evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator

Starts the evaluation.

evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator

Starts the evaluation.

evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator

Reads all sample objects and evaluates each instance via the Evaluator.evaluateSample(Object) method.

evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator

Evaluates the given reference object.

EvaluationMonitor<T> - Interface in opennlp.tools.util.eval

Evaluator<T> - Class in opennlp.tools.util.eval

An abstract base class for evaluators.

Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator

EvaluatorParams - Interface in opennlp.tools.cmdline.params

Common evaluation parameters.

Event - Class in opennlp.tools.ml.model

The context of a decision point during training.

Event(String, CharSequence[]) - Constructor for class opennlp.tools.ml.model.Event

Instantiates an Event.

Event(String, CharSequence[], float[]) - Constructor for class opennlp.tools.ml.model.Event

Instantiates an Event.

Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event

Instantiates an Event.

EVENT_MODEL_SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType

EVENT_MODEL_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType

EVENT_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration

EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer

EventAnnotation - Class in opennlp.tools.formats.brat

EventModelSequenceTrainer<T> - Interface in opennlp.tools.ml

A specialized Trainer that is based on a 'EventModelSequence' approach.

EventTraceStream - Class in opennlp.tools.util

EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream

Initializes an EventTraceStream.

EventTrainer - Interface in opennlp.tools.ml

A specialized Trainer that is based on an Event approach.

expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse

Experimental - Annotation Interface in opennlp.tools.util.java

Indicates that a certain API feature is not stable and might change with a new release.

ExtensionLoader - Class in opennlp.tools.util.ext

The ExtensionLoader is responsible to load extensions to the OpenNLP library.

ExtensionNotLoadedException - Exception in opennlp.tools.util.ext

Exception indicates that an OpenNLP extension could not be loaded.

ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException

ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException

ExtensionServiceKeys - Class in opennlp.tools.util.ext

ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys

extractArtifactSerializerMappings(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory

extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator

extractFeatures(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.FeatureGenerator

Extracts features from given text fragments.

extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator

extractTags(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag

extractTokens(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag

F

Factory - Class in opennlp.tools.sentdetect.lang

Factory - Class in opennlp.tools.tokenize.lang

Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory

Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory

FeatureGenerator - Interface in opennlp.tools.doccat

Interface for generating features for document categorization.

FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen

The FeatureGeneratorResourceProvider provides access to the resources available in the model.

FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen

This class provide common utilities for feature generation.

FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil

FileEventStream - Class in opennlp.tools.ml.model

Class for using a file of events as an event stream.

FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream via a File.

FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream via a Reader.

FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream from the specified file name.

FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream

Instantiates a FileEventStream from the specified file name.

FileToByteArraySampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream

Initializes a FileToByteArraySampleStream.

FileToStringSampleStream - Class in opennlp.tools.formats.convert

Provides the ability to read the contents of files contained in an object stream of files.

FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream

Initializes a FileToStringSampleStream.

FilterObjectStream<S,T> - Class in opennlp.tools.util

Abstract base class for filtering streams.

find(String) - Method in class opennlp.tools.namefind.RegexNameFinder

Finds spans with character indices, rather than word.

find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder

find(String[]) - Method in class opennlp.tools.namefind.NameFinderME

find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder

find(String[]) - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME

find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder

Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.

find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder

Finds tokens spans for the specified document of sentences and their tokens.

find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME

Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.

find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker

Links an entire document of named entities to an external source.

find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker

Links the names that correspond to the tokens[] spans.

FineGrainedEvaluatorParams - Interface in opennlp.tools.cmdline.params

Common evaluation parameters.

FINNISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

finnishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

finnishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.finnishStemmer

fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse

FLOAT - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType

FMeasure - Class in opennlp.tools.util.eval

The FMeasure is a utility class for evaluators which measures precision, recall and the resulting f-measure.

FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure

FRENCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

frenchStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

frenchStemmer() - Constructor for class opennlp.tools.stemmer.snowball.frenchStemmer

Function - Interface in opennlp.tools.ml.maxent.quasinewton

Interface for a function.

G

GapLabeler - Interface in opennlp.tools.parser

Represents a labeler for nodes which contain traces so that these traces can be predicted by a Parser.

generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator

Generates nGrams based on a char[] input.

generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator

Creates nGrams separated by the separator param value i.e.

GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream

GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream

GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream

GENERATE_GPE_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream

GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream

GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream

GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream

GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream

GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream

GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream

GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream

GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream

GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream

generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream

generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream

Generates events for each token in a sentence with the specified outcomes using the specified NameContextGenerator.

generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream

generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream

Deprecated, for removal: This API element is subject to removal in a future version.

use the BioCodec implementation of the SequenceValidator instead!

GeneratorFactory - Class in opennlp.tools.util.featuregen

Creates a set of feature generators based on a provided XML descriptor.

GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory

GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

GenericModelReader - Class in opennlp.tools.ml.model

An generic AbstractModelReader implementation.

GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader

Initializes a GenericModelReader via a File.

GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader

Initializes a GenericModelReader via a DataReader.

GenericModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer

GenericModelWriter - Class in opennlp.tools.ml.model

An generic AbstractModelWriter implementation.

GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

Initializes a GenericModelWriter for an AbstractModel with an associated DataOutputStream the model shall be written to.

GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

Initializes a GenericModelWriter for an AbstractModel with an associated File the model shall be written to.

GERMAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

germanStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

germanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.germanStemmer

get() - Method in class opennlp.tools.ml.naivebayes.LogProbability

get() - Method in class opennlp.tools.ml.naivebayes.Probability

get(String) - Method in interface opennlp.tools.util.wordvector.WordVectorTable

get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities

getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory

getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel

getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel

getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

accuracy = correctly categorized documents / total documents

getAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample

getAdditionalContext() - Method in class opennlp.tools.postag.POSSample

getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer

getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities

getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel

Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.

getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.

getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME

getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves the name of the category associated with the given probabilities.

getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory

Gets the alphanumeric pattern for a language.

getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory

getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument

getAnnotationConfig() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getAnnotations() - Method in class opennlp.tools.formats.brat.BratDocument

getArg1() - Method in class opennlp.tools.formats.brat.RelationAnnotation

getArg2() - Method in class opennlp.tools.formats.brat.RelationAnnotation

getArguments() - Method in class opennlp.tools.formats.brat.EventAnnotation

getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider

getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel

getArtifactSerializerClass() - Method in class opennlp.tools.dictionary.Dictionary

getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.en.HeadRules

getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSDictionary

getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSModel

getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.BrownCluster

getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact

Retrieves the class which can serialize and recreate this artifact.

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory

getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory

getAsDouble(int) - Method in interface opennlp.tools.util.wordvector.WordVector

getAsFloat(int) - Method in interface opennlp.tools.util.wordvector.WordVector

getAttachedId() - Method in class opennlp.tools.formats.brat.AnnotatorNoteAnnotation

getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation

getAttachModel() - Method in class opennlp.tools.parser.ParserModel

getAvailableModels() - Static method in class opennlp.tools.util.DownloadUtil

getBase() - Method in class opennlp.tools.formats.masc.MascToken

getBases() - Method in class opennlp.tools.formats.masc.MascPennTagParser

getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves the best category from previously generated outcome probabilities

getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel

Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.

getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Retrieves the outcome associated with the index containing the highest probability in the double[].

getBool(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value.

getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value in the specified namespace.

getBratDataDir() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getBuildModel() - Method in class opennlp.tools.parser.ParserModel

getCachedFeatureGenerator() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

getCategory() - Method in class opennlp.tools.doccat.DocumentSample

getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves the category at a given index.

getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getCheckModel() - Method in class opennlp.tools.parser.ParserModel

getChildCount() - Method in class opennlp.tools.parser.Parse

getChildren() - Method in class opennlp.tools.parser.Parse

getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel

getChunkSize() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

After processing a chunk of this size, the probing detection will compute probabilities and determine if there is enough confidence to stop.

getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse

Returns the deepest shared parent of this node and the specified node.

getConfidence() - Method in class opennlp.tools.langdetect.Language

getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities

getConfig() - Method in class opennlp.tools.formats.brat.BratDocument

getContext() - Method in class opennlp.tools.ml.model.Event

getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

Finds the context for finding names at the specified index.

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator

Retrieves the contexts for chunking of the specified idx.

getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator

getContext(int, String[], String[], String[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator

getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator

Returns the contexts for lemmatizing of the specified index.

getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator

getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator

getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator

getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator

Returns the context for the specified position in the specified sequence (list).

getContext(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator

getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator

Retrieves the contexts for a document using character ngrams.

getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator

getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator

Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.

getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator

getContext(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator

getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator

getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator

getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator

Finds the predictive context used to determine how constituent at the specified index should be combined with other constituents.

getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator

Finds the contexts/features for the decision to build a new constituent for the specified parse at the specified index.

getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator

Finds the predictive contextual features about an attachment.

getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator

Finds predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.

getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator

Finds the predictive context used to determine how constituent at the specified index should be combined with a parent constituent.

getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator

Builds up the list of contextual predicates given an object.

getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory

getContextGenerator() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory

getContextGenerator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory

getContextGenerator() - Method in class opennlp.tools.parser.ParserChunkerFactory

getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory

getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer

getCount(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel

Retrieves the count of the given ngram.

getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel

Retrieves the count of the given ngram.

getCoveredText() - Method in class opennlp.tools.formats.brat.SpanAnnotation

getCoveredText() - Method in class opennlp.tools.parser.Parse

getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span

getCurrent() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the current string.

getCurrentBuffer() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the current buffer containing the stem.

getCurrentBufferLength() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the valid length of the character array in SnowballProgram.getCurrentBuffer().

getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer

getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams

getDataDir() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters

getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer

getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory

Instantiates a DataIndexer configured via TrainingParameters.

getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel

Provides the fundamental data structures which encode the MaxentModel information.

getDataType() - Method in interface opennlp.tools.util.wordvector.WordVector

getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory

Allows for use of selected Defaults as well as regexes from external configuration.

getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory

Retrieves a RegexNameFinder that will utilize specified default regexes.

getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getDerivation() - Method in class opennlp.tools.parser.Parse

getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory

Provides a List with all the elements in the xml feature descriptor.

getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter

getDetokenizer() - Method in interface opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory.Parameters

getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

getDimension() - Method in interface opennlp.tools.ml.maxent.quasinewton.Function

getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample

getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator

getDocumentAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator

getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

getDocumentId() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getDouble(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value.

getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value in the specified namespace.

getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

Parse a tree element from a AD line

getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node

getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter

getEncoding() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters

getEncoding() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters

getEncoding() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters

getEncoding() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters

getEnd() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters

getEnd() - Method in class opennlp.tools.util.Span

Note: that the returned index is one past the actual end of the span in the text, or the first element past the end of the span.

getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

getEntityIDsToTokens() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser

getEntityIDtoEntityType() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser

getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel

getEOSCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getEOSCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory

getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

Retrieves an EventModelSequenceTrainer that fits the given parameters.

getEvents() - Method in class opennlp.tools.ml.model.Sequence

getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

Retrieves an EventTrainer that fits the given parameters.

getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation

getExpandME() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters

getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample

getFactory() - Method in class opennlp.tools.chunker.ChunkerModel

getFactory() - Method in class opennlp.tools.doccat.DoccatModel

getFactory() - Method in class opennlp.tools.langdetect.LanguageDetectorModel

getFactory() - Method in class opennlp.tools.lemmatizer.LemmatizerModel

getFactory() - Method in class opennlp.tools.namefind.TokenNameFinderModel

getFactory() - Method in class opennlp.tools.postag.POSModel

getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel

getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel

getFctEvalCount() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getFeats() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory

getFileFilter() - Method in interface opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory.Parameters

getFileFilter() - Method in interface opennlp.tools.formats.masc.MascPOSSampleStreamFactory.Parameters

getFileFilter() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters

getFileFilter() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters

getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex

getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getFloat(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getFloat(String, float) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator

getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator

getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator

getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator

getFMeasure() - Method in class opennlp.tools.parser.ParserCrossValidator

getFMeasure() - Method in class opennlp.tools.parser.ParserEvaluator

getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator

getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator

getFMeasure() - Method in class opennlp.tools.tokenize.DetokenizerEvaluator

getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator

getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator

getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure

f-measure = 2 * precision * recall / (precision + recall).

getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams

getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getFuncChangeRate() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Retrieves a Collections of all aggregated feature generators.

getGradAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper

getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp

getHead() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getHead() - Method in class opennlp.tools.parser.Parse

getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules

Retrieves the head constituent for the specified constituents of given type.

getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules

getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

getHeadIndex() - Method in class opennlp.tools.parser.Parse

getHeadRules() - Method in class opennlp.tools.parser.ParserModel

getHelp() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool

getHelp() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool

getHelp() - Method in class opennlp.tools.cmdline.doccat.DoccatTool

getHelp() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool

getHelp() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool

getHelp() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool

getHelp() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool

getHelp() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool

getHelp() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool

getHelp() - Method in class opennlp.tools.cmdline.parser.ParserTool

getHelp() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool

getHelp() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool

getHelp() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool

getHelp() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool

getHelp() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool

getHelp() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool

getId() - Method in class opennlp.tools.formats.brat.BratAnnotation

getId() - Method in class opennlp.tools.formats.brat.BratDocument

getId() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getId() - Method in class opennlp.tools.formats.masc.MascWord

getId() - Method in class opennlp.tools.namefind.NameSample

getIncludeFeatures() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters

getIncludeTitles() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters

getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves the index of a certain category.

getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel

getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel

Retrieves the index associated with the String name of the given outcome.

getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream

getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream

getInitialObject(double, double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Initial linear search object for L1-regularization.

getInitialObject(double, double[], double[], double[], double[], int) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Initial linear search object for L1-regularization.

getInitialObjectForL1(double, double[], double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Initial linear search object for L1-regularization.

getInitialPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

getInstance() - Static method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer

getInstance() - Static method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer

getInstance() - Static method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer

getInstance() - Static method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer

getInstance() - Static method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer

getInt(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getInt(String, int) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value.

getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value in the specified namespace.

getItemID() - Method in class opennlp.tools.entitylinker.BaseLink

getItemName() - Method in class opennlp.tools.entitylinker.BaseLink

getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink

getItemType() - Method in class opennlp.tools.entitylinker.BaseLink

getIterations() - Method in class opennlp.tools.ml.AbstractTrainer

getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities

getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability

getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability

getLabel() - Method in class opennlp.tools.parser.Constituent

Returns the label of the constituent.

getLabel() - Method in class opennlp.tools.parser.Parse

Retrieves the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.

getLabelComparator(Map<String, FineGrainedReportListener.Counter>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

getLang() - Method in interface opennlp.tools.cmdline.params.LanguageParams

getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory

getLang() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.Conll02NameSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.Conll03NameSampleStreamFactory.Parameters

getLang() - Method in interface opennlp.tools.formats.EvalitaNameSampleStreamFactory.Parameters

getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory

getLang() - Method in class opennlp.tools.langdetect.Language

getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider

getLanguage() - Method in class opennlp.tools.util.model.BaseModel

getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory

getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample

getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel

getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan

getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory

Retrieves a EntityLinker instance matching the properties configuration.

getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory

Retrieves a EntityLinker instance matching the properties configuration.

getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability

getLog() - Method in class opennlp.tools.ml.naivebayes.Probability

getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities

getLong(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getLong(String, long) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getMajor() - Method in class opennlp.tools.util.Version

getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider

getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel

getMatchingPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder

getMatrixLabelComparator(Map<String, FineGrainedReportListener.ConfusionMatrixLine>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities

getMaxentModel() - Method in class opennlp.tools.doccat.DoccatModel

getMaxentModel() - Method in class opennlp.tools.langdetect.LanguageDetectorModel

getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel

getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel

getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary

getMaxTokenLength() - Method in class opennlp.tools.tokenize.WordpieceTokenizer

getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities

getMinConsecImprovements() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinDiff()

getMinDiff() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinConsecImprovements()

getMinor() - Method in class opennlp.tools.util.Version

getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary

getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams

getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams

getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams

getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams

getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader

getModelType() - Method in class opennlp.tools.ml.model.AbstractModel

getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

getName() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool

getName() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool

getNameCounters() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

getNamedEntities() - Method in class opennlp.tools.formats.masc.MascSentence

getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel

getNames() - Method in class opennlp.tools.namefind.NameSample

getNameTypes() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse

getNGrams(String[], int) - Static method in class opennlp.tools.ngram.NGramUtils

Get the ngrams of dimension n of a certain input sequence of tokens.

getNGrams(StringList, int) - Static method in class opennlp.tools.ngram.NGramUtils

Get the ngrams of dimension n of a certain input sequence of tokens.

getNMinusOneTokenFirst(StringList) - Static method in class opennlp.tools.ngram.NGramUtils

get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram

getNMinusOneTokenLast(StringList) - Static method in class opennlp.tools.ngram.NGramUtils

get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram

getNonTokenizedText() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence

getNote() - Method in class opennlp.tools.formats.brat.BratAnnotation

getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves the number of categories.

getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME

getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer

getNumOutcomes() - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel

getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters

getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters

getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel

getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer

getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters

getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters

getOntoNotesDir() - Method in interface opennlp.tools.formats.ontonotes.OntoNotesFormatParameters

getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME

getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME

getOriginal() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getOutcome() - Method in class opennlp.tools.ml.model.Event

getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel

getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel

Retrieves the String name of the outcome associated with the index i.

getOutcome(int) - Method in class opennlp.tools.util.Sequence

getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer

getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer

getOutcomes() - Method in class opennlp.tools.ml.BeamSearch

getOutcomes() - Method in class opennlp.tools.ml.model.Context

getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel

getOutcomes() - Method in class opennlp.tools.util.Sequence

getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

getParagraphId() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory

getParameters() - Method in class opennlp.tools.ml.model.Context

getParameters(String) - Method in class opennlp.tools.util.TrainingParameters

getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams

getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters

getParams() - Method in class opennlp.tools.ml.model.EvalParameters

getParent() - Method in class opennlp.tools.parser.Parse

getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel

getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel

getParserType() - Method in class opennlp.tools.parser.ParserModel

getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample

getPos() - Method in class opennlp.tools.formats.masc.MascToken

getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory

getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory

getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

The receiver scans cbuf for sentence ending characters and returns their offsets.

getPositions(CharSequence) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(CharSequence) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

The receiver scans the specified string for sentence ending characters and returns their offsets.

getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

The receiver scans buf for sentence ending characters and returns their offsets.

getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel

getPosTag(ConlluTagset) - Method in class opennlp.tools.formats.conllu.ConlluWordLine

getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure

getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer

getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer

getPreds() - Method in class opennlp.tools.chunker.ChunkSample

getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse

getProb() - Method in class opennlp.tools.parser.Parse

getProb() - Method in class opennlp.tools.util.Span

getProb(int) - Method in class opennlp.tools.util.Sequence

getProbabilities() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME

getProbs() - Method in class opennlp.tools.util.Sequence

getProbs(double[]) - Method in class opennlp.tools.util.Sequence

Populates an array with the probabilities associated with the Sequence outcomes.

getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties

Retrieves a property value for a given key.

getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules

getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules

getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

getQuarks() - Method in class opennlp.tools.formats.masc.MascToken

getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure

getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory.Parameters

getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascPOSSampleStreamFactory.Parameters

getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters

getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters

getRecursive() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble

getReportOutputFile() - Method in interface opennlp.tools.cmdline.params.FineGrainedEvaluatorParams

getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider

getResultBuffer() - Method in class opennlp.tools.stemmer.PorterStemmer

Returns a reference to a character buffer containing the results of the stemming process.

getResultLength() - Method in class opennlp.tools.stemmer.PorterStemmer

Returns the length of the word resulting from the stemming process.

getRevision() - Method in class opennlp.tools.util.Version

getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser

Returns the right frontier of the specified tree with nodes ordered from deepest to shallowest.

getRuleBasedTokenizer() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getRuleBasedTokenizer() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters

getSamplesPerLanguage() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters

getSamplesToSkip() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters

getScore() - Method in class opennlp.tools.util.Sequence

getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink

getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan

getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getSegments() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument

getSentDetectText() - Method in class opennlp.tools.formats.masc.MascSentence

getSentence() - Method in class opennlp.tools.chunker.ChunkSample

getSentence() - Method in class opennlp.tools.namefind.NameSample

getSentence() - Method in class opennlp.tools.postag.POSSample

getSentenceCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

getSentenceDetectorModel() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan

getSentenceIdComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Returns the probabilities associated with the most recent calls to SentenceDetectorME.sentDetect(CharSequence).

getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

getSentences() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

getSentences() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument

getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample

getSentencesDir() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters

getSentencesPerSample() - Method in interface opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory.Parameters

getSentencesPerSample() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters

getSentencesPerSample() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters

getSentencesPerSample() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters

getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel

getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

Retrieves a SequenceTrainer that fits the given parameters.

getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory

getSequenceValidator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory

getSequenceValidator() - Method in class opennlp.tools.parser.ParserChunkerFactory

getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory

getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool

getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool

getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTool

getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool

getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool

getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool

getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool

getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool

getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool

getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool

getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool

getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool

getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool

getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil

getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getSize() - Method in class opennlp.tools.util.Sequence

getSource() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getSource() - Method in class opennlp.tools.ml.model.Sequence

This object is used when the events for this sequence need to be re-derived such as in a call to SequenceStream.updateContext(Sequence, AbstractModel).

getSpan() - Method in class opennlp.tools.parser.Constituent

Returns the span of the constituent.

getSpan() - Method in class opennlp.tools.parser.Parse

getSpans() - Method in class opennlp.tools.formats.brat.SpanAnnotation

getSpanType() - Method in class opennlp.tools.namefind.RegexNameFinder

getSplitHyphenatedTokens() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters

getStart() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters

getStart() - Method in class opennlp.tools.util.Span

getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getStr(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value.

getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

Obtains a training parameter value in the specified namespace.

getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector

getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME

getSupportedLanguages() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

getSurface() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex

getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory

getTagNodes() - Method in class opennlp.tools.parser.Parse

getTags() - Method in class opennlp.tools.chunker.ChunkSample

getTags() - Method in class opennlp.tools.formats.masc.MascPennTagParser

getTags() - Method in class opennlp.tools.formats.masc.MascSentence

getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample

getTags() - Method in class opennlp.tools.postag.POSSample

getTags(String) - Method in class opennlp.tools.postag.POSDictionary

Returns a list of valid tags for the specified word.

getTags(String) - Method in interface opennlp.tools.postag.TagDictionary

Retrieves a list of valid tags for the specified word.

getTagSequenceProb() - Method in class opennlp.tools.parser.Parse

getTagset() - Method in interface opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory.Parameters

getTagset() - Method in interface opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory.Parameters

getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream

Retrieves the ObjectStream over the test/evaluations elements and poisons this CrossValidationPartitioner.TrainingSampleStream.

getText() - Method in class opennlp.tools.doccat.DocumentSample

getText() - Method in class opennlp.tools.formats.brat.BratDocument

getText() - Method in class opennlp.tools.parser.Parse

getText() - Method in class opennlp.tools.tokenize.TokenSample

getTextComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getTextFile() - Method in interface opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory.Parameters

getTextLang() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getToken(int) - Method in class opennlp.tools.util.StringList

getTokenCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

getTokenId() - Method in class opennlp.tools.formats.masc.MascToken

getTokenizerModel() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters

getTokenizerModel() - Method in interface opennlp.tools.formats.muc.Muc6NameSampleStreamFactory.Parameters

getTokenizerModel() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters

getTokenNodes() - Method in class opennlp.tools.parser.Parse

getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME

getTokens() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getTokens() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence

getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample

getTokenSample() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample

getTokensSpans() - Method in class opennlp.tools.formats.masc.MascSentence

Retrieves the boundaries of individual tokens.

getTokenStrings() - Method in class opennlp.tools.formats.masc.MascSentence

getTokenText() - Method in class opennlp.tools.formats.masc.MascSentence

getTokenToQuarks() - Method in class opennlp.tools.formats.masc.MascPennTagParser

getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory

Determines the TrainerFactory.TrainerType based on the TrainingParameters.ALGORITHM_PARAM value.

getTranslation() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

getTranslit() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getType() - Method in class opennlp.tools.formats.brat.BratAnnotation

getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble

getType() - Method in class opennlp.tools.parser.Parse

getType() - Method in class opennlp.tools.util.Span

getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration

getTypes() - Method in interface opennlp.tools.formats.BioNLP2004NameSampleStreamFactory.Parameters

getTypes() - Method in interface opennlp.tools.formats.Conll02NameSampleStreamFactory.Parameters

getTypes() - Method in interface opennlp.tools.formats.Conll03NameSampleStreamFactory.Parameters

getTypes() - Method in interface opennlp.tools.formats.EvalitaNameSampleStreamFactory.Parameters

getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation

getValue() - Method in class opennlp.tools.util.MutableInt

getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes

Retrieves the value for the given key or null if attribute it not set.

getValueAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getValueAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getValues() - Method in interface opennlp.tools.ml.model.DataIndexer

getValues() - Method in class opennlp.tools.ml.model.Event

getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer

getVersion() - Method in class opennlp.tools.util.model.BaseModel

getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

Accuracy is defined as: word accuracy = correctly detected tags / total words

getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator

Accuracy defined as: word accuracy = correctly detected tags / total words

getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator

getWordClasses(String, BrownCluster) - Static method in class opennlp.tools.util.featuregen.BrownTokenClasses

It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.

getWordCount() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

getWordCount() - Method in class opennlp.tools.postag.POSEvaluator

getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator

getWordLines() - Method in class opennlp.tools.formats.conllu.ConlluSentence

GISModel - Class in opennlp.tools.ml.maxent

A maximum entropy model which has been trained using the Generalized Iterative Scaling (GIS) procedure.

GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel

Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.

GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel

Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.

GISModelReader - Class in opennlp.tools.ml.maxent.io

The base class for readers of GIS models.

GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader

Initializes a GISModelReader via a File.

GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader

Initializes a GISModelReader via a DataReader.

GISModelWriter - Class in opennlp.tools.ml.maxent.io

The base class for writers of GIS models.

GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter

Initializes a GISModelWriter for a GIS model.

GISTrainer - Class in opennlp.tools.ml.maxent

An implementation of Generalized Iterative Scaling (GIS).

GISTrainer() - Constructor for class opennlp.tools.ml.maxent.GISTrainer

Initializes a GISTrainer.

Glove - Class in opennlp.tools.util.wordvector

GloVe is an unsupervised learning algorithm for obtaining vector representations for words.

gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function

Computes the gradient for x.

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

Computes the gradient.

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood

Computes the gradient for x.

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

GREEK - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

greekStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

greekStemmer() - Constructor for class opennlp.tools.stemmer.snowball.greekStemmer

guessFormat(POSModel) - Static method in class opennlp.tools.postag.POSTagFormatMapper

Guesses the POSTagFormat of a given POSModel

H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample

hashCode() - Method in class opennlp.tools.dictionary.Dictionary

hashCode() - Method in record class opennlp.tools.dictionary.serializer.Entry

Returns a hash code value for this object.

hashCode() - Method in class opennlp.tools.doccat.DocumentSample

hashCode() - Method in class opennlp.tools.entitylinker.BaseLink

hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan

hashCode() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Returns a hash code value for this object.

hashCode() - Method in class opennlp.tools.langdetect.Language

hashCode() - Method in record class opennlp.tools.langdetect.LanguageSample

Returns a hash code value for this object.

hashCode() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns a hash code value for this object.

hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample

hashCode() - Method in class opennlp.tools.ml.maxent.GISModel

hashCode() - Method in class opennlp.tools.ml.model.AbstractModel

hashCode() - Method in class opennlp.tools.ml.model.ComparableEvent

hashCode() - Method in class opennlp.tools.ml.model.ComparablePredicate

hashCode() - Method in class opennlp.tools.ml.model.Context

hashCode() - Method in class opennlp.tools.ml.model.EvalParameters

hashCode() - Method in class opennlp.tools.ml.model.UniformPrior

hashCode() - Method in class opennlp.tools.ml.perceptron.PerceptronModel

hashCode() - Method in class opennlp.tools.namefind.NameSample

hashCode() - Method in class opennlp.tools.ngram.NGramCharModel

hashCode() - Method in class opennlp.tools.ngram.NGramModel

hashCode() - Method in class opennlp.tools.parser.lang.en.HeadRules

hashCode() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

hashCode() - Method in class opennlp.tools.parser.Parse

hashCode() - Method in class opennlp.tools.parser.ParserModel

hashCode() - Method in class opennlp.tools.postag.POSDictionary

hashCode() - Method in class opennlp.tools.postag.POSModel

hashCode() - Method in class opennlp.tools.postag.POSSample

hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample

hashCode() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.danishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.dutchStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.englishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.finnishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.frenchStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.germanStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.greekStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.italianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.porterStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.romanianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.russianStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.spanishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.swedishStemmer

hashCode() - Method in class opennlp.tools.stemmer.snowball.turkishStemmer

hashCode() - Method in class opennlp.tools.tokenize.TokenizerModel

hashCode() - Method in class opennlp.tools.tokenize.TokenSample

hashCode() - Method in class opennlp.tools.util.Sequence

hashCode() - Method in class opennlp.tools.util.Span

hashCode() - Method in class opennlp.tools.util.StringList

hashCode() - Method in record class opennlp.tools.util.TokenTag

Returns a hash code value for this object.

hashCode() - Method in class opennlp.tools.util.Version

hasNamedEntities() - Method in class opennlp.tools.formats.masc.MascDocument

Checks whether there is NER by GATE-5.0 ANNIE.

hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream

Test whether there are any events remaining in this DataStream.

hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream

hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner

Checks if there are more partitions available.

hasNext() - Method in class opennlp.tools.util.ReverseListIterator

hasParams() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool

hasPennTags() - Method in class opennlp.tools.formats.masc.MascDocument

Checks whether there is Penn tagging produced by GATE-5.0 ANNIE.

HeadRules - Class in opennlp.tools.parser.lang.en

Class for storing the English HeadRules associated with parsing.

HeadRules - Interface in opennlp.tools.parser

Encoder for head rules associated with parsing.

HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules

Creates a new set of head rules based on the specified reader.

HeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.en

HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer

HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

HUNGARIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

hungarianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

hungarianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.hungarianStemmer

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys

Property key for the unique id which identifies an OpenNLP extension service.

INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

The label for the top if an incomplete node.

INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Outcome used when a constituent is incomplete.

increment() - Method in class opennlp.tools.util.MutableInt

Adds 1 to the curren value.

index(ObjectStream<Event>) - Method in interface opennlp.tools.ml.model.DataIndexer

Performs the data indexing.

index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer

Performs the data indexing.

index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer

Performs the data indexing.

Index - Class in opennlp.tools.dictionary

This classes indexes string lists.

Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index

Initializes an Index with the given Iterator over StringList elements.

indexOf(Parse) - Method in class opennlp.tools.parser.Parse

INDONESIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

indonesianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

indonesianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.indonesianStemmer

init() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory

init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream

init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker

Initializes an EntityLinker and allows for passing properties through the EntityLinkerFactory into all impls dynamically.

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.commons.Trainer

Conducts the initialization of an Trainer via TrainingParameters and a report map.

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer

Initializes a AbstractTrainer via TrainingParameters and a report map.

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.GISTrainer

Initializes a AbstractTrainer via TrainingParameters and a report map.

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer

Sets parameters used during the data indexing.

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer

Sets parameters used during the data indexing.

INITIAL_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The initial step size: 1.0.

innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.ArrayMath

InputStreamFactory - Interface in opennlp.tools.util

Allows repeated reads through a stream for certain model building types.

insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter

insert(Parse) - Method in class opennlp.tools.parser.Parse

Inserts the specified constituent into this parse based on its text span.

InSpanGenerator - Class in opennlp.tools.util.featuregen

Generates features if the tokens are recognized by the provided TokenNameFinder.

InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator

Initializes a InSpanGenerator instance.

INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer

Use this static reference to retrieve an instance of the SimpleTokenizer.

INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer

Use this static reference to retrieve an instance of the WhitespaceTokenizer.

instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader

Instantiates a user provided extension to OpenNLP.

instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a SequenceCodec instance via given parameters.

InsufficientTrainingDataException - Exception in opennlp.tools.util

This exception indicates that the provided training data is insufficient to train a desired model.

InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

intern(String) - Method in interface opennlp.tools.util.jvm.StringInterner

Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.

intern(String) - Static method in class opennlp.tools.util.jvm.StringInterners

Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.

Internal - Annotation Interface in opennlp.tools.commons

Classes, fields, or methods annotated @Internal are for OpenNLP internal use only.

intersects(Span) - Method in class opennlp.tools.util.Span

Checks if the specified Span intersects with this span.

InvalidFormatException - Exception in opennlp.tools.util

This exception indicates that a resource violates the expected data format.

InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException

InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException

InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException

invL2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Computes the Inverse L2-norm for a vector v.

IRISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

IrishSentenceBankDocument - Class in opennlp.tools.formats.irishsentencebank

A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.

IrishSentenceBankDocument() - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

Initializes an empty IrishSentenceBankDocument.

IrishSentenceBankDocument.IrishSentenceBankFlex - Class in opennlp.tools.formats.irishsentencebank

IrishSentenceBankDocument.IrishSentenceBankSentence - Class in opennlp.tools.formats.irishsentencebank

IrishSentenceBankFlex(String, String[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex

IrishSentenceBankSentence(String, String, String, Span[], IrishSentenceBankDocument.IrishSentenceBankFlex[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence

IrishSentenceBankSentenceStreamFactory - Class in opennlp.tools.formats.irishsentencebank

Note: Do not use this class, internal use only!

IrishSentenceBankSentenceStreamFactory.Parameters - Interface in opennlp.tools.formats.irishsentencebank

IrishSentenceBankTokenSampleStreamFactory - Class in opennlp.tools.formats.irishsentencebank

Note: Do not use this class, internal use only!

IrishSentenceBankTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.irishsentencebank

irishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

irishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.irishStemmer

isAllCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern

isAllDigit() - Method in class opennlp.tools.util.featuregen.StringPattern

isAllHiragana() - Method in class opennlp.tools.util.featuregen.StringPattern

isAllKatakana() - Method in class opennlp.tools.util.featuregen.StringPattern

isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern

isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern

isCaseSensitive() - Method in class opennlp.tools.dictionary.Dictionary

isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary

isCaseSensitive() - Method in interface opennlp.tools.postag.TagDictionary

Whether the dictionary is case-sensitive or not.

isCaseSensitive() - Method in class opennlp.tools.util.StringList

isChunk() - Method in class opennlp.tools.parser.Parse

isChunk(boolean) - Method in class opennlp.tools.parser.Parse

isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample

isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil

isFlat() - Method in class opennlp.tools.parser.Parse

Indicates whether this parse node contains no sub-constituents.

isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern

isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability

isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability

Checks if a probability is greater than the old one.

isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider

Indicates if this provider was loaded from a serialized form.

isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel

isNewDocument() - Method in class opennlp.tools.formats.conllu.ConlluSentence

isNewParagraph() - Method in class opennlp.tools.formats.conllu.ConlluSentence

isPosTag() - Method in class opennlp.tools.parser.Parse

Indicates whether this parse node is a pos-tag.

isSnapshot() - Method in class opennlp.tools.util.Version

isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer

isSortAndMerge() - Method in class opennlp.tools.ml.maxent.GISTrainer

isSortAndMerge() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

isSortAndMerge() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

isUseAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerFactory

isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

isValid(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory

isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil

Determines if the specified Character is a whitespace.

isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil

Determines if the specified Character is a whitespace.

IT - Enum constant in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

ITALIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

italianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

italianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.italianStemmer

ITERATIONS_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters

The default number of iterations is 100.

ITERATIONS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

iterator() - Method in class opennlp.tools.dictionary.Dictionary

iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes

Iterates over the keys.

iterator() - Method in class opennlp.tools.ngram.NGramCharModel

Retrieves an Iterator over all entries.

iterator() - Method in class opennlp.tools.ngram.NGramModel

Retrieves an Iterator over all StringList entries.

iterator() - Method in class opennlp.tools.postag.POSDictionary

Retrieves an Iterator over all words in the dictionary.

iterator() - Method in class opennlp.tools.util.StringList

J

jpnEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The default L1-cost value is 0.0d.

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

The default L1-cost value is 0.1d.

L1COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

l1norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Computes the L1-norm for a vector v.

L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The default L2-cost value is 0.0d.

L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

The default L2-cost value is 0.1d.

L2COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

l2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Computes the L2-norm for a vector v.

L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler

Labels constituents found in the stack with gap labels if appropriate.

labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules

labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

language() - Method in record class opennlp.tools.langdetect.LanguageSample

Returns the value of the language record component.

Language - Class in opennlp.tools.langdetect

Class for holding the document language and its confidence

Language(String) - Constructor for class opennlp.tools.langdetect.Language

Language(String, double) - Constructor for class opennlp.tools.langdetect.Language

LanguageDetector - Interface in opennlp.tools.langdetect

The interface for LanguageDetector which predicts the Language for a context.

LanguageDetectorConfig - Class in opennlp.tools.langdetect

LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig

LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect

A context generator interface for LanguageDetector.

LanguageDetectorConverterTool - Class in opennlp.tools.cmdline.langdetect

Tool to convert multiple data formats into native OpenNLP language detection training format.

LanguageDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorConverterTool

LanguageDetectorCrossValidator - Class in opennlp.tools.langdetect

Cross validator for LanguageDetector.

LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Initializes a LanguageDetectorCrossValidator with the given parameters.

LanguageDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.langdetect

LanguageDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool

LanguageDetectorEvaluationErrorListener - Class in opennlp.tools.cmdline.langdetect

A default implementation of EvaluationMonitor that prints to an output stream.

LanguageDetectorEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener

Creates a listener that will print to the configured logger.

LanguageDetectorEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener

Creates a listener that will print to a given OutputStream

LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect

A marker interface for evaluating language detectors.

LanguageDetectorEvaluator - Class in opennlp.tools.langdetect

The LanguageDetectorEvaluator measures the performance of the given LanguageDetector with the provided reference LanguageSamples.

LanguageDetectorEvaluator(LanguageDetector, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEvaluator

Initializes an instance to evaluate a LanguageDetector.

LanguageDetectorEvaluatorTool - Class in opennlp.tools.cmdline.langdetect

A default LanguageSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

LanguageDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool

LanguageDetectorEventStream - Class in opennlp.tools.langdetect

Iterator-like class for modeling an event stream of samples.

LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEventStream

Initializes an instance via samples and feature generators.

LanguageDetectorFactory - Class in opennlp.tools.langdetect

Default factory used by LanguageDetector.

LanguageDetectorFactory() - Constructor for class opennlp.tools.langdetect.LanguageDetectorFactory

LanguageDetectorFineGrainedReportListener - Class in opennlp.tools.cmdline.langdetect

Generates a detailed report for the POS Tagger.

LanguageDetectorFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener

Creates a listener that will print to System.err

LanguageDetectorFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener

Creates a listener that prints to a given OutputStream

LanguageDetectorME - Class in opennlp.tools.langdetect

Implements a learnable LanguageDetector.

LanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.LanguageDetectorME

Initializes an instance with a specific LanguageDetectorModel.

LanguageDetectorModel - Class in opennlp.tools.langdetect

The LanguageDetectorModel is the model used by a learnable LanguageDetector.

LanguageDetectorModel(File) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

Initializes a LanguageDetectorModel instance via a valid File.

LanguageDetectorModel(InputStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

Initializes a LanguageDetectorModel instance via a valid InputStream.

LanguageDetectorModel(URL) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

Initializes a LanguageDetectorModel instance via a valid URL.

LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

Initializes a LanguageDetectorModel instance via given parameters.

LanguageDetectorModelLoader - Class in opennlp.tools.cmdline.langdetect

Loads a LanguageDetectorModel for the command line tools.

LanguageDetectorModelLoader() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorModelLoader

LanguageDetectorSampleStream - Class in opennlp.tools.langdetect

This class reads in string encoded training samples, parses them and outputs LanguageSample objects.

LanguageDetectorSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.langdetect.LanguageDetectorSampleStream

Initializes a instance.

LanguageDetectorSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP lang detector sample streams.

LanguageDetectorSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

LanguageDetectorTool - Class in opennlp.tools.cmdline.langdetect

LanguageDetectorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTool

LanguageDetectorTrainerTool - Class in opennlp.tools.cmdline.langdetect

LanguageDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool

LanguageModel - Interface in opennlp.tools.languagemodel

A language model can calculate the probability p (between 0 and 1) of a certain sequence of tokens, given its underlying vocabulary.

LanguageParams - Interface in opennlp.tools.cmdline.params

languages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns the value of the languages record component.

LanguageSample - Record Class in opennlp.tools.langdetect

Holds a classified document and its Language.

LanguageSample(Language, CharSequence) - Constructor for record class opennlp.tools.langdetect.LanguageSample

Creates an instance of a LanguageSample record class.

LanguageSampleStreamFactory<T,P> - Class in opennlp.tools.formats

Stream factory for those streams which carry language.

LAST - Static variable in class opennlp.tools.namefind.BilouCodec

Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

LeipzigLanguageSampleStream - Class in opennlp.tools.formats.leipzig

LeipzigLanguageSampleStream(File, int, int) - Constructor for class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream

Initializes a LeipzigLanguageSampleStream.

LeipzigLanguageSampleStreamFactory - Class in opennlp.tools.formats.leipzig

Note: Do not use this class, internal use only!

LeipzigLanguageSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.leipzig

LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME

LemmaEvaluationErrorListener - Class in opennlp.tools.cmdline.lemmatizer

A default implementation of EvaluationMonitor that prints to an output stream.

LemmaEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener

Creates a listener that will print to the configured logger.

LemmaEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener

Creates a listener that will print to a given OutputStream

LemmaSample - Class in opennlp.tools.lemmatizer

Represents a lemmatized sentence.

LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample

Initializes a LemmaSample instance with the given parameters.

LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample

Initializes a LemmaSample instance with the given parameters.

LemmaSampleEventStream - Class in opennlp.tools.lemmatizer

Class for creating an event stream out of data files for training a probabilistic Lemmatizer.

LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleEventStream

Creates a new event stream based on the specified data stream using a LemmatizerContextGenerator.

LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer

A SequenceStream implementation encapsulating samples.

LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

LemmaSampleStream - Class in opennlp.tools.lemmatizer

Reads data for training and testing the Lemmatizer.

LemmaSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleStream

Initializes a instance.

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer

Generates lemmas for the word and postag.

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer

Generates lemma tags for the word and postag.

lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME

lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

Lemmatizer - Interface in opennlp.tools.lemmatizer

The common interface for lemmatizers.

LEMMATIZER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer

Interface for the context generator used for probabilistic Lemmatizer.

LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer

A marker interface for evaluating lemmatizers.

LemmatizerEvaluator - Class in opennlp.tools.lemmatizer

The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference samples.

LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator

Initializes a LemmatizerEvaluator instance with the given Lemmatizer.

LemmatizerEvaluatorTool - Class in opennlp.tools.cmdline.lemmatizer

A default LemmaSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

LemmatizerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool

LemmatizerFactory - Class in opennlp.tools.lemmatizer

The factory that provides Lemmatizer default implementation and resources.

LemmatizerFactory() - Constructor for class opennlp.tools.lemmatizer.LemmatizerFactory

Instantiates a LemmatizerFactory that provides the default implementation of the resources.

LemmatizerFineGrainedReportListener - Class in opennlp.tools.cmdline.lemmatizer

Generates a detailed report for the Lemmatizer.

LemmatizerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener

Creates a listener that will print to the configured logger.

LemmatizerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener

Creates a listener that prints to a given OutputStream

LemmatizerME - Class in opennlp.tools.lemmatizer

A probabilistic Lemmatizer implementation.

LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME

Initializes a LemmatizerME with the provided model and a default beam size of 3.

LemmatizerMETool - Class in opennlp.tools.cmdline.lemmatizer

LemmatizerMETool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool

LemmatizerModel - Class in opennlp.tools.lemmatizer

The LemmatizerModel is the model used by a learnable Lemmatizer.

LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via a valid File.

LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via a valid InputStream.

LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, SequenceClassificationModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via a valid URL.

LemmatizerModel(Path) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via a valid Path.

LemmatizerModelLoader - Class in opennlp.tools.cmdline.lemmatizer

Loads a LemmatizerModel for the command line tools.

LemmatizerModelLoader() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerModelLoader

LemmatizerSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP LemmaSampleStreams.

LemmatizerSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

LemmatizerTrainerTool - Class in opennlp.tools.cmdline.lemmatizer

LemmatizerTrainerTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool

length() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns the value of the length record component.

length() - Method in class opennlp.tools.util.Span

LetsmtDocument - Class in opennlp.tools.formats.letsmt

A structure to hold the letsmt document.

LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt

A content handler to receive and process SAX events.

LetsmtDocument.LetsmtSentence - Class in opennlp.tools.formats.letsmt

LetsmtDocumentHandler() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler

LetsmtSentence() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence

LetsmtSentenceStreamFactory - Class in opennlp.tools.formats.letsmt

Note: Do not use this class, internal use only!

LetsmtSentenceStreamFactory.Parameters - Interface in opennlp.tools.formats.letsmt

levenshteinDistance(String, String) - Static method in class opennlp.tools.util.StringUtil

Computes the Levenshtein distance of two strings in a matrix.

LineSearch - Class in opennlp.tools.ml.maxent.quasinewton

Performs line search to find a minimum.

LineSearch() - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch

LineSearch.LineSearchResult - Class in opennlp.tools.ml.maxent.quasinewton

Represents a LineSearch result encapsulating the relevant data at a point in time during computation.

LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Initializes a LineSearch.LineSearchResult object with the specified parameters.

LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Initializes a LineSearch.LineSearchResult object with the specified parameters.

LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker

A default, extended Span that holds additional information about a Span.

LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

Initializes a new LinkedSpan.

LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

Initializes a new LinkedSpan.

LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

Initializes a new LinkedSpan.

LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

Initializes a new LinkedSpan via an existing Span which is shifted by the specified offset.

loadResources(File, File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool

Load the resources, such as dictionaries, by reading the feature xml descriptor and looking into the directory passed as argument.

LOG_LIKELIHOOD_THRESHOLD_DEFAULT - Static variable in class opennlp.tools.ml.maxent.GISTrainer

LOG_LIKELIHOOD_THRESHOLD_PARAM - Static variable in class opennlp.tools.ml.maxent.GISTrainer

LogPrintStream - Class in opennlp.tools.log

This class serves as an adapter for a Logger used within a PrintStream.

LogPrintStream(Logger) - Constructor for class opennlp.tools.log.LogPrintStream

Creates a LogPrintStream for the given Logger.

LogPrintStream(Logger, Level) - Constructor for class opennlp.tools.log.LogPrintStream

Creates a LogPrintStream for the given Logger, which logs at the specified level.

logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the log of the distribution for the specified context.

logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior

logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the log of the distribution for the specified context.

logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior

logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the log of the distribution for the specified context.

logPrior(double[], Context[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior

LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes

Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.

LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities

LogProbability<T> - Class in opennlp.tools.ml.naivebayes

A class implementing the logarithmic Probability for a label.

LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability

logSumOfExps(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.

lookupToken(String) - Method in class opennlp.tools.util.featuregen.BrownCluster

Check if a token is in the Brown:paths, token map.

lookupToken(String) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

M

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The default number of Hessian updates to store is 15.

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

The default number of Hessian updates to store is 15.

M_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

MarkableFileInputStreamFactory - Class in opennlp.tools.util

A factory that creates MarkableFileInputStream from a File

MarkableFileInputStreamFactory(File) - Constructor for class opennlp.tools.util.MarkableFileInputStreamFactory

Initializes a MarkableFileInputStreamFactory.

Masc - Interface in opennlp.tools.formats.masc

A simple marker interface for classes that support or refer to the Masc.MASC_FORMAT.

MASC_FORMAT - Static variable in interface opennlp.tools.formats.masc.Masc

MascDocument - Class in opennlp.tools.formats.masc

MascDocument(String, List<MascSentence>) - Constructor for class opennlp.tools.formats.masc.MascDocument

MascDocumentStream - Class in opennlp.tools.formats.masc

MascDocumentStream(File) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream

MascDocumentStream(File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream

Creates a MascDocumentStream to read the documents from a given directory.

MascNamedEntityParser - Class in opennlp.tools.formats.masc

A class to process the MASC Named entity stand-off annotation file

MascNamedEntityParser() - Constructor for class opennlp.tools.formats.masc.MascNamedEntityParser

MascNamedEntitySampleStream - Class in opennlp.tools.formats.masc

MascNamedEntitySampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascNamedEntitySampleStream

Initializes MascNamedEntitySampleStream from a stream of documents.

MascNamedEntitySampleStreamFactory - Class in opennlp.tools.formats.masc

Note: Do not use this class, internal use only!

MascNamedEntitySampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc

MascPennTagParser - Class in opennlp.tools.formats.masc

A class for parsing MASC's Penn tagging/tokenization stand-off annotation

MascPennTagParser() - Constructor for class opennlp.tools.formats.masc.MascPennTagParser

MascPOSSampleStream - Class in opennlp.tools.formats.masc

MascPOSSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascPOSSampleStream

Initializes MascPOSSampleStream from a stream of documents.

MascPOSSampleStreamFactory - Class in opennlp.tools.formats.masc

Note: Do not use this class, internal use only!

MascPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc

MascSentence - Class in opennlp.tools.formats.masc

MascSentence(int, int, String, List<MascWord>, List<MascWord>) - Constructor for class opennlp.tools.formats.masc.MascSentence

Initializes a MascSentence containing its associated text and quarks

MascSentenceSampleStream - Class in opennlp.tools.formats.masc

MascSentenceSampleStream(ObjectStream<MascDocument>, int) - Constructor for class opennlp.tools.formats.masc.MascSentenceSampleStream

MascSentenceSampleStreamFactory - Class in opennlp.tools.formats.masc

Note: Do not use this class, internal use only!

MascSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc

MascToken - Class in opennlp.tools.formats.masc

A specialized Span to express tokens in documents.

MascToken(int, int, int, String, String, MascWord[]) - Constructor for class opennlp.tools.formats.masc.MascToken

Initializes a MascToken which may combine multiple quarks.

MascTokenSampleStream - Class in opennlp.tools.formats.masc

MascTokenSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascTokenSampleStream

Initializes a MascTokenSampleStream.

MascTokenSampleStreamFactory - Class in opennlp.tools.formats.masc

Note: Do not use this class, internal use only!

MascTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc

MascWord - Class in opennlp.tools.formats.masc

MascWord(int, int, int) - Constructor for class opennlp.tools.formats.masc.MascWord

Holds one of MASC's quarks, that is: basic-level units (may be sub-word).

max(double[]) - Static method in class opennlp.tools.ml.ArrayMath

Finds the maximum element in a vector x.

MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The default maximum number of function evaluations is 30,000.

MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

The default maximum number of function evaluations is 30,000.

MAX_FCT_EVAL_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Maxent - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType

MAXENT - Enum constant in enum class opennlp.tools.util.model.ModelType

MAXENT_QN_VALUE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

MAXENT_VALUE - Static variable in class opennlp.tools.ml.maxent.GISTrainer

MaxentModel - Interface in opennlp.tools.ml.model

Interface for maximum entropy models.

MaxentQn - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType

mean() - Method in class opennlp.tools.util.eval.Mean

Mean - Class in opennlp.tools.util.eval

Calculates the arithmetic mean of values added with the Mean.add(double) method.

Mean() - Constructor for class opennlp.tools.util.eval.Mean

MERGE_BOTH - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

The current token should be attached to the string on the left side, as well as to the start token on the right side.

MERGE_TO_LEFT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

The current token should be attached to the string on the left side.

MERGE_TO_RIGHT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

The current token should be attached to the start token on the right side.

mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure

Merge results into metric.

mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser

META_LABEL_FINAL - Static variable in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

metadata() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Returns the value of the metadata record component.

MGRS - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

MIN_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

The minimum step size: 1e-10.

minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Finds the parameters that minimize the objective function.

misclassified(ChunkSample, ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener

misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener

misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener

misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener

misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener

misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener

misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener

misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener

misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSEvaluationErrorListener

misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

misclassified(SentenceSample, SentenceSample) - Method in class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener

misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener

misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener

misclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor

ModelParameterChunker - Class in opennlp.tools.ml.model

A helper class that handles Strings with more than 64k (65535 bytes) in length.

ModelType - Enum Class in opennlp.tools.util.model

Enumeration of supported model types.

ModelUtil - Class in opennlp.tools.util.model

Utility class for handling of models.

MosesSentenceSampleStream - Class in opennlp.tools.formats.moses

Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.

MosesSentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.moses.MosesSentenceSampleStream

Initializes a MosesSentenceSampleStream.

MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses

Factory producing OpenNLP MosesSentenceSampleStream objects.

MosesSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.moses

MOVE_BOTH - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Attaches the token to the token on the left and right sides.

MOVE_LEFT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Attaches the token to the token on the left side.

MOVE_RIGHT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Attaches the token to the token on the right side.

Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc

Muc6NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.muc

MucNameContentHandler - Class in opennlp.tools.formats.muc

MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler

Initializes a MucNameContentHandler.

MucNameSampleStream - Class in opennlp.tools.formats.muc

MutableContext - Class in opennlp.tools.ml.model

An extension of Context used to store parameters or expected values associated with this context which can be updated or assigned.

MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext

Creates a new parameters object with the specified parameters associated with the specified outcome pattern.

MutableInt - Class in opennlp.tools.util

This is a non-thread safe mutable int.

MutableInt(int) - Constructor for class opennlp.tools.util.MutableInt

MutableTagDictionary - Interface in opennlp.tools.postag

Interface that allows TagDictionary entries to be added and removed.

N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

NaiveBayes - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType

NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes

Specialized parameters for the evaluation of a naive bayes classifier

NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

NaiveBayesModel - Class in opennlp.tools.ml.naivebayes

A MaxentModel implementation of the multinomial Naive Bayes classifier model.

NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel

Initializes a NaiveBayesModel.

NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

The base class for readers of models.

NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader

Initializes a NaiveBayesModelReader via a File.

NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader

Initializes a NaiveBayesModelReader via a DataReader.

NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

The base class for NaiveBayesModel writers.

NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

Initializes a NaiveBayesModelWriter for a NaiveBayes model.

NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes

Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:

NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

Instantiates a NaiveBayesTrainer with default training parameters.

NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

Instantiates a NaiveBayesTrainer with specific TrainingParameters.

name - Variable in class opennlp.tools.ml.model.ComparablePredicate

NAME_FINDER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

NameContextGenerator - Interface in opennlp.tools.namefind

Interface for generating the context for a name finder by specifying a set of feature generators.

NameEvaluationErrorListener - Class in opennlp.tools.cmdline.namefind

A default implementation of EvaluationMonitor that prints to an output stream.

NameEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener

Creates a listener that will print to the configured logger.

NameEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

NameFinderCensus90NameStream - Class in opennlp.tools.formats

This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.

NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream

Initializes a NameFinderCensus90NameStream via an InputStreamFactory and a Charset.

NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream

Initializes a NameFinderCensus90NameStream via ObjectStream<String>.

NameFinderEventStream - Class in opennlp.tools.namefind

Class for creating an event stream out of data files for training an TokenNameFinder.

NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream

Initializes a NameFinderEventStream using the specified dataStream and NameContextGenerator.

NameFinderME - Class in opennlp.tools.namefind

A maximum-entropy-based name finder implementation.

NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME

Initializes a NameFinderME with a TokenNameFinderModel.

NameFinderSequenceValidator - Class in opennlp.tools.namefind

The default name finder SequenceValidator implementation.

NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator

NameSample - Class in opennlp.tools.namefind

Encapsulates names for a single unit of text.

NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample

Initializes a NameSample instance with given parameters.

NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample

Initializes a NameSample instance with given parameters.

NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample

Initializes a NameSample instance with given parameters.

NameSampleCountersStream - Class in opennlp.tools.cmdline.namefind

Counts tokens, sentences and names by type.

NameSampleDataStream - Class in opennlp.tools.namefind

The NameSampleDataStream class converts tagged tokens provided by a DataStream to NameSample objects.

NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream

Initializes a NameSampleDataStream with given psi samples.

NameSampleDataStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP NameSampleDataStreams.

NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats

NameSampleSequenceStream - Class in opennlp.tools.namefind

A SequenceStream implementation encapsulating samples.

NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples.

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleTypeFilter - Class in opennlp.tools.namefind

A stream which removes name samples which do not have a certain type.

NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter

Initializes a NameSampleTypeFilter.

NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter

Initializes a NameSampleTypeFilter.

NameToSentenceSampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream

Initializes a NameToSentenceSampleStream.

NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

NameToTokenSampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream

Initializes a NameToTokenSampleStream.

NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

NameToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

NegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton

Evaluates negative log-likelihood and its gradient from DataIndexer.

NegLogLikelihood(DataIndexer) - Constructor for class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

NewlineSentenceDetector - Class in opennlp.tools.sentdetect

The Newline SentenceDetector assumes that sentences are line delimited and recognizes one sentence per non-empty line.

NewlineSentenceDetector() - Constructor for class opennlp.tools.sentdetect.NewlineSentenceDetector

next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream

next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner

Retrieves the next training and test partitions.

next() - Method in class opennlp.tools.util.ReverseListIterator

NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator

nextIteration(int) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

nextToken() - Method in interface opennlp.tools.ml.maxent.DataStream

Returns the next slice of data held in this DataStream.

NGramCharModel - Class in opennlp.tools.ngram

The NGramCharModel can be used to create character ngrams.

NGramCharModel() - Constructor for class opennlp.tools.ngram.NGramCharModel

Initializes an empty instance.

NGramFeatureGenerator - Class in opennlp.tools.doccat

Generates ngram features for a document.

NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator

Instantiates an NGramFeatureGenerator instance with a Bi grams config.

NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator

Instantiates an NGramFeatureGenerator instance with configurable ngram parameters.

NGramGenerator - Class in opennlp.tools.ngram

Generates an nGram, via an optional separator, and returns the grams as a list of strings

NGramGenerator() - Constructor for class opennlp.tools.ngram.NGramGenerator

NGramLanguageModel - Class in opennlp.tools.languagemodel

A LanguageModel based on a NGramModel using Stupid Backoff to get the probabilities of the ngrams.

NGramLanguageModel() - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

Initializes an NGramLanguageModel with NGramLanguageModel.DEFAULT_N.

NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

Initializes an NGramLanguageModel with the given n for the ngram size.

NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

Initializes a NGramLanguageModel instance via a valid InputStream.

NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

Initializes a NGramLanguageModel instance via a valid InputStream.

NGramLanguageModelTool - Class in opennlp.tools.cmdline.languagemodel

Command line tool for NGramLanguageModel.

NGramLanguageModelTool() - Constructor for class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool

NGramModel - Class in opennlp.tools.ngram

The NGramModel can be used to crate ngrams and character ngrams.

NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel

Instantiates an empty NGramModel instance.

NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel

Instantiates a NGramModel via an InputStream reference.

NGramUtils - Class in opennlp.tools.ngram

Utility class for ngrams.

NGramUtils() - Constructor for class opennlp.tools.ngram.NGramUtils

nicePrint() - Method in class opennlp.tools.chunker.ChunkSample

Creates a nice to read string for the phrases formatted as following:
[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.

NKJPSegmentationDocument - Class in opennlp.tools.formats.nkjp

NKJPSegmentationDocument.Pointer - Class in opennlp.tools.formats.nkjp

NKJPSentenceSampleStream - Class in opennlp.tools.formats.nkjp

NKJPSentenceSampleStreamFactory - Class in opennlp.tools.formats.nkjp

Note: Do not use this class, internal use only!

NKJPSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.nkjp

NKJPTextDocument - Class in opennlp.tools.formats.nkjp

The National corpus of Polish (NKJP) format.

NLD - Enum constant in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

NO_OPERATION - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Do not perform a merge operation for this token, but is possible that another token can be attached to the left or right side of this one.

NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME

Constant indicates no sentence split.

NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME

Constant indicates no token split.

Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node

NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser

Outcome used when a node should not be attached to another node.

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer

normalize(CharSequence) - Method in interface opennlp.tools.util.normalizer.CharSequenceNormalizer

Normalizes a sequence of characters.

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer

NORWEGIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

norwegianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

norwegianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.norwegianStemmer

NUM_ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

By default the number of iterations is 100.

NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A NumberCharSequenceNormalizer implementation that normalizes text in terms of numbers.

NumberCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer

numberOfGrams() - Method in class opennlp.tools.ngram.NGramCharModel

Retrieves the total count of all Ngrams.

numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel

Retrieves the total count of all Ngrams.

O

ObjectDataReader - Class in opennlp.tools.ml.model

A DataReader implementation based on ObjectInputStream.

ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader

Instantiates an ObjectDataReader.

ObjectStream<T> - Interface in opennlp.tools.util

Reads objects from a stream.

ObjectStreamUtils - Class in opennlp.tools.util

ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils

OnePassDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.

OnePassDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassDataIndexer

OnePassRealValueDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.

OnePassRealValueDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassRealValueDataIndexer

OntoNotesFormatParameters - Interface in opennlp.tools.formats.ontonotes

OntoNotesNameSampleStream - Class in opennlp.tools.formats.ontonotes

Name Sample Stream parser for the OntoNotes 4.0 named entity files.

OntoNotesNameSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream

Initializes a OntoNotesNameSampleStream.

OntoNotesNameSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

Note: Do not use this class, internal use only!

OntoNotesNameSampleStreamFactory() - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory

OntoNotesParseSampleStream - Class in opennlp.tools.formats.ontonotes

OntoNotesParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream

Initializes a OntoNotesParseSampleStream.

OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

Note: Do not use this class, internal use only!

OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

Note: Do not use this class, internal use only!

openFeatureGeneratorBytes(File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool

opennlp.tools.chunker - package opennlp.tools.chunker

Package related to finding non-recursive syntactic annotation such as noun phrase chunks.

opennlp.tools.cmdline.chunker - package opennlp.tools.cmdline.chunker

opennlp.tools.cmdline.dictionary - package opennlp.tools.cmdline.dictionary

opennlp.tools.cmdline.doccat - package opennlp.tools.cmdline.doccat

opennlp.tools.cmdline.entitylinker - package opennlp.tools.cmdline.entitylinker

opennlp.tools.cmdline.langdetect - package opennlp.tools.cmdline.langdetect

opennlp.tools.cmdline.languagemodel - package opennlp.tools.cmdline.languagemodel

opennlp.tools.cmdline.lemmatizer - package opennlp.tools.cmdline.lemmatizer

Classes giving access to the opennlp.tools.lemmatizer functionalities.

opennlp.tools.cmdline.namefind - package opennlp.tools.cmdline.namefind

opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params

opennlp.tools.cmdline.parser - package opennlp.tools.cmdline.parser

opennlp.tools.cmdline.postag - package opennlp.tools.cmdline.postag

opennlp.tools.cmdline.sentdetect - package opennlp.tools.cmdline.sentdetect

opennlp.tools.cmdline.tokenizer - package opennlp.tools.cmdline.tokenizer

opennlp.tools.commons - package opennlp.tools.commons

Package related to common interfaces used in different contexts.

opennlp.tools.dictionary - package opennlp.tools.dictionary

Package related to parsing and storing dictionaries.

opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer

opennlp.tools.doccat - package opennlp.tools.doccat

Package for classifying a document into a category.

opennlp.tools.entitylinker - package opennlp.tools.entitylinker

Package related to linking entities to external data sources.

opennlp.tools.formats - package opennlp.tools.formats

Experimental package related to converting various corpora to OpenNLP Format.

opennlp.tools.formats.ad - package opennlp.tools.formats.ad

Experimental package related to the Arvores Deitadas corpus format.

opennlp.tools.formats.brat - package opennlp.tools.formats.brat

Experimental package related to the corpus format used by the "brat rapid annotation tool" (brat).

opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu

Experimental package related to the CoNNL-U format.

opennlp.tools.formats.convert - package opennlp.tools.formats.convert

opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank

Experimental package related to the French Treebank format.

opennlp.tools.formats.irishsentencebank - package opennlp.tools.formats.irishsentencebank

Experimental package related to the Irish Sentence Bank format.

opennlp.tools.formats.leipzig - package opennlp.tools.formats.leipzig

Experimental package related to the Leipzig corpus format.

opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt

Experimental package related to the letsmt corpus format.

opennlp.tools.formats.masc - package opennlp.tools.formats.masc

Experimental package related to the MASC corpus format.

opennlp.tools.formats.moses - package opennlp.tools.formats.moses

opennlp.tools.formats.muc - package opennlp.tools.formats.muc

Experimental package related to the MUC corpus format.

opennlp.tools.formats.nkjp - package opennlp.tools.formats.nkjp

Experimental package related to the National corpus of Polish NKJP format.

opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes

Experimental package related to the OntoNotes 4.0 format.

opennlp.tools.langdetect - package opennlp.tools.langdetect

Package related to predicting languages from samples of text.

opennlp.tools.languagemodel - package opennlp.tools.languagemodel

Package related to language models

opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer

Package related to the lemmatizer functionality.

opennlp.tools.log - package opennlp.tools.log

Package contains a PrintStream adapter for internal use only.

opennlp.tools.ml - package opennlp.tools.ml

Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.

opennlp.tools.ml.maxent - package opennlp.tools.ml.maxent

Package related to ML by means of the Maximum Entropy (ME) algorithm.

opennlp.tools.ml.maxent.io - package opennlp.tools.ml.maxent.io

Package related to the I/O functionality of the maxent package including reading and writing models in several formats.

opennlp.tools.ml.maxent.quasinewton - package opennlp.tools.ml.maxent.quasinewton

Package related to ML by means of the Quasi Newton (QN) algorithm.

opennlp.tools.ml.model - package opennlp.tools.ml.model

Package related to ML models and feature selection techniques.

opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes

Package related to ML by means of the Naive Bayes algorithm.

opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron

Package related to ML by means of the perceptron algorithm.

opennlp.tools.namefind - package opennlp.tools.namefind

Package related to finding proper names and numeric amounts.

opennlp.tools.ngram - package opennlp.tools.ngram

Package related to computing and storing n-gram frequencies.

opennlp.tools.parser - package opennlp.tools.parser

Package containing common code for performing full syntactic parsing.

opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking

Package containing code for performing full syntactic parsing using shift/reduce-style decisions.

opennlp.tools.parser.lang.en - package opennlp.tools.parser.lang.en

opennlp.tools.parser.lang.es - package opennlp.tools.parser.lang.es

opennlp.tools.parser.treeinsert - package opennlp.tools.parser.treeinsert

Package containing experimental code for performing full syntactic parsing using attachment decisions.

opennlp.tools.postag - package opennlp.tools.postag

Package related to part-of-speech tagging.

opennlp.tools.sentdetect - package opennlp.tools.sentdetect

Package related to identifying sentence boundaries.

opennlp.tools.sentdetect.lang - package opennlp.tools.sentdetect.lang

opennlp.tools.sentdetect.lang.th - package opennlp.tools.sentdetect.lang.th

Package related to the processing of Thai data.

opennlp.tools.stemmer - package opennlp.tools.stemmer

opennlp.tools.stemmer.snowball - package opennlp.tools.stemmer.snowball

opennlp.tools.tokenize - package opennlp.tools.tokenize

Contains classes related to finding token or words in a string.

opennlp.tools.tokenize.lang - package opennlp.tools.tokenize.lang

opennlp.tools.tokenize.lang.en - package opennlp.tools.tokenize.lang.en

opennlp.tools.util - package opennlp.tools.util

Package containing utility data structures and algorithms used by multiple other packages.

opennlp.tools.util.eval - package opennlp.tools.util.eval

opennlp.tools.util.ext - package opennlp.tools.util.ext

Package containing extension loading code.

opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen

This package contains classes for generating sequence features.

opennlp.tools.util.java - package opennlp.tools.util.java

opennlp.tools.util.jvm - package opennlp.tools.util.jvm

opennlp.tools.util.model - package opennlp.tools.util.model

opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer

opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector

OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream

OTHER - Static variable in class opennlp.tools.namefind.BilouCodec

OTHER - Static variable in class opennlp.tools.namefind.BioCodec

OTHER - Static variable in class opennlp.tools.namefind.NameFinderME

OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Outcome for token which is not contained in a basal constituent.

outcome - Variable in class opennlp.tools.ml.model.ComparableEvent

OutcomePriorFeatureGenerator - Class in opennlp.tools.util.featuregen

The definition feature maps the underlying distribution of outcomes.

OutcomePriorFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator

outcomes - Variable in class opennlp.tools.ml.model.ComparablePredicate

P

ParagraphStream - Class in opennlp.tools.util

A FilterObjectStream which merges text lines into paragraphs.

ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream

Initializes an FilterObjectStream.

ParallelNegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton

Evaluates negative log-likelihood and its gradient in parallel.

ParallelNegLogLikelihood(DataIndexer, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood

params - Variable in class opennlp.tools.ml.model.ComparablePredicate

parse(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration

Parses a given annConfigFile into a AnnotationConfiguration.

parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration

Parses a given annConfigFile into a AnnotationConfiguration.

parse(InputStream) - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

Parses the data provided via an InputStream into a IrishSentenceBankDocument.

parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument

parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPTextDocument

parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove

Parses a glove vector plain text file.

parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser

Parses an SGML document available via the input in Reader.

parse(String) - Static method in enum class opennlp.tools.parser.ParserType

parse(String) - Static method in class opennlp.tools.postag.POSSample

Parses a sentenceString.

parse(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

parse(String) - Static method in class opennlp.tools.util.Version

Return a new Version initialized to the value represented by the specified String

parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample

Parses given input into a NameSample.

parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

Parses a sentence string into a ADSentenceStream.Sentence.

parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample

Parses a string sample.

parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample

Parses given input into a NameSample.

parse(BratDocument) - Method in class opennlp.tools.formats.brat.BratDocumentParser

parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser

parse(Parse) - Method in interface opennlp.tools.parser.Parser

Returns a Parse for the specified Parse of tokens.

parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser

parse(Parse, int) - Method in interface opennlp.tools.parser.Parser

Returns the specified number of parses or fewer for the specified tokens.

Parse - Class in opennlp.tools.parser

Data structure for holding parse constituents.

Parse(String, Span, String, double, int) - Constructor for class opennlp.tools.parser.Parse

Initializes a node for this specified text and span of the specified type with probability p and the head index.

Parse(String, Span, String, double, Parse) - Constructor for class opennlp.tools.parser.Parse

Initializes a node for this specified text and span of the specified type with probability p and the head index.

parseContexts(String[]) - Static method in class opennlp.tools.ml.model.RealValueFileEventStream

Parses the specified contexts and re-populates context array with features and returns the values for these features.

parseDocument(String, InputStream, InputStream, InputStream, InputStream, InputStream) - Static method in class opennlp.tools.formats.masc.MascDocument

Initializes a MascDocument with all the stand-off annotations translated into the internal structure.

parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument

parseLine(String, Parser, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool

parseLine(String, Parser, Tokenizer, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool

parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary

Reads a Dictionary which has one entry per line.

parseParse(String) - Static method in class opennlp.tools.parser.Parse

Parses the specified tree-bank style parse string and return a Parse structure for that string.

parseParse(String, GapLabeler) - Static method in class opennlp.tools.parser.Parse

Parses the specified tree-bank style Parse string and return a Parse structure for that string.

Parser - Class in opennlp.tools.parser.chunking

A shift reduce style Parser implementation based on Adwait Ratnaparkhi's 1998 thesis.

Parser - Class in opennlp.tools.parser.treeinsert

A built-attach Parser implementation.

Parser - Interface in opennlp.tools.parser

Defines common methods for full-syntactic parsers.

Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser

Instantiates a Parser via a given model.

Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser

Instantiates a Parser via a given model.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser

Instantiates a Parser via a given model and other configuration parameters.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser

Instantiates a Parser via a given model and other configuration parameters.

PARSER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

ParserChunkerFactory - Class in opennlp.tools.parser

ParserChunkerFactory() - Constructor for class opennlp.tools.parser.ParserChunkerFactory

ParserChunkerSequenceValidator - Class in opennlp.tools.parser

The parser chunker SequenceValidator implementation.

ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator

ParserConverterTool - Class in opennlp.tools.cmdline.parser

Tool to convert multiple data formats into native OpenNLP parser format.

ParserConverterTool() - Constructor for class opennlp.tools.cmdline.parser.ParserConverterTool

ParserCrossValidator - Class in opennlp.tools.parser

Cross validator for a Parser.

ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator

Initializes a ParserCrossValidator instance via given parameters.

ParserEvaluationMonitor - Interface in opennlp.tools.parser

A marker interface for evaluating parsers.

ParserEvaluator - Class in opennlp.tools.parser

This implementation of Evaluator<Parse> behaves like EVALB with no exceptions, e.g, without removing punctuation tags, or equality between ADVP and PRT, as in COLLINS convention.

ParserEvaluator(Parser, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserEvaluator

Initializes a ParserEvaluator instance with the given Parser.

ParserEvaluatorTool - Class in opennlp.tools.cmdline.parser

A default Parse-centric implementation of AbstractEvaluatorTool that prints to an output stream.

ParserEvaluatorTool() - Constructor for class opennlp.tools.cmdline.parser.ParserEvaluatorTool

ParserEventStream - Class in opennlp.tools.parser.chunking

Wrapper class for one of four shift-reduce parser event streams.

ParserEventStream - Class in opennlp.tools.parser.treeinsert

Wrapper class for one of four built-attach parser event streams.

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream

Instantiates a ParserEventStream based on the specified data stream of the type using head rules.

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream

Instantiates a ParserEventStream based on the specified data stream of the type using head rules.

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream

Instantiates a ParserEventStream based on the specified data stream of the type using head rules.

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream

Instantiates a ParserEventStream based on the specified data stream of the type using head rules.

ParserEventTypeEnum - Enum Class in opennlp.tools.parser

Enumeration of event types for a Parser.

ParserFactory - Class in opennlp.tools.parser

ParserModel - Class in opennlp.tools.parser

This is the default ParserModel implementation.

ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid File.

ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid InputStream.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid URL.

ParserModel(Path) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid Path.

ParserModelLoader - Class in opennlp.tools.cmdline.parser

Loads a ParserModel for the command line tools.

ParserModelLoader() - Constructor for class opennlp.tools.cmdline.parser.ParserModelLoader

ParserTool - Class in opennlp.tools.cmdline.parser

ParserTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTool

ParserTrainerTool - Class in opennlp.tools.cmdline.parser

ParserTrainerTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTrainerTool

ParserType - Enum Class in opennlp.tools.parser

Enumeration of supported Parser types.

ParseSampleStream - Class in opennlp.tools.parser

ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream

Initializes a instance.

ParseSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP ParseSampleStreams.

ParseSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

ParseToPOSSampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

ParseToPOSSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.formats.convert.ParseToPOSSampleStream

Initializes a ParseToPOSSampleStream.

ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

ParseToPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

ParseToSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

ParseToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses

PENN - Enum constant in enum class opennlp.tools.postag.POSTagFormat

Perceptron - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType

PERCEPTRON - Enum constant in enum class opennlp.tools.util.model.ModelType

PERCEPTRON_SEQUENCE - Enum constant in enum class opennlp.tools.util.model.ModelType

PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

PERCEPTRON_VALUE - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer

PerceptronModel - Class in opennlp.tools.ml.perceptron

A model implementation based one the perceptron algorithm.

PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel

Initializes a PerceptronModel.

PerceptronModelReader - Class in opennlp.tools.ml.perceptron

The base class for readers of models.

PerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader

Initializes a PerceptronModelReader via a File.

PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader

Initializes a PerceptronModelReader via a DataReader.

PerceptronModelWriter - Class in opennlp.tools.ml.perceptron

The base class for PerceptronModel writers.

PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelWriter

Initializes a PerceptronModelWriter for a perceptron model.

PerceptronTrainer - Class in opennlp.tools.ml.perceptron

Trains models using the perceptron algorithm.

PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

Instantiates a PerceptronTrainer with default training parameters.

PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

Instantiates a PerceptronTrainer with specific TrainingParameters.

persist() - Method in class opennlp.tools.ml.AbstractMLModelWriter

persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter

Writes the GIS model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter

Writes the QN model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.model.AbstractModelWriter

Serializes the model using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.model.GenericModelWriter

persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

Writes the perceptron model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.perceptron.PerceptronModelWriter

Writes the perceptron model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.

phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample

Create arrays of spans of phrases.

PlainTextByLineStream - Class in opennlp.tools.util

Reads a plain text file and returns each line as a String object.

PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream

Initializes a PlainTextByLineStream.

PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream

Initializes a PlainTextByLineStream.

PlainTextFileDataReader - Class in opennlp.tools.ml.model

A generic DataReader implementation for plain text files.

PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a BufferedReader.

PlainTextFileDataReader(File) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a File.

PlainTextFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a InputStream.

PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelReader that reads models from a plain text format.

PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader

Instantiates PlainTextNaiveBayesModelReader via a BufferedReader containing the model contents.

PlainTextNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader

Instantiates PlainTextNaiveBayesModelReader via a File and creates a reader for it.

PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelWriter that writes models in a plain text format.

PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a BufferedWriter.

PlainTextNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a File.

Pointer(String, String, int, int, boolean) - Constructor for class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer

populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME

Populates a POSDictionary from an ObjectStream of samples.

PORTER - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

porterStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

porterStemmer() - Constructor for class opennlp.tools.stemmer.snowball.porterStemmer

PorterStemmer - Class in opennlp.tools.stemmer

A Stemmer, implementing the Porter Stemming Algorithm

PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer

PORTUGUESE - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

PortugueseContractionUtility - Class in opennlp.tools.formats.ad

Utility class to handle Portuguese contractions.

PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility

portugueseStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

portugueseStemmer() - Constructor for class opennlp.tools.stemmer.snowball.portugueseStemmer

POS - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

POSContextGenerator - Interface in opennlp.tools.postag

Interface for a BeamSearchContextGenerator used in POS tagging.

POSDictionary - Class in opennlp.tools.postag

Provides a means of determining which tags are valid for a particular word based on a TagDictionary read from a file.

POSDictionary() - Constructor for class opennlp.tools.postag.POSDictionary

Initializes an empty case sensitive POSDictionary.

POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary

Initializes an empty POSDictionary.

POSDictionarySerializer() - Constructor for class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer

POSEvaluationErrorListener - Class in opennlp.tools.cmdline.postag

A default implementation of EvaluationMonitor that prints to an output stream.

POSEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener

Creates a listener that will print to the configured logger.

POSEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

POSEvaluator - Class in opennlp.tools.postag

The POSEvaluator measures the performance of the given POSTagger with the provided reference samples.

POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator

Initializes the current instance.

POSModel - Class in opennlp.tools.postag

The POSModel is the model used by a learnable POSTagger.

POSModel(File) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid File.

POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid InputStream.

POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(String, SequenceClassificationModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid URL.

POSModel(Path) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid Path.

POSModelLoader - Class in opennlp.tools.cmdline.postag

Loads a POSModel for the command line tools.

POSModelLoader() - Constructor for class opennlp.tools.cmdline.postag.POSModelLoader

POSModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer

POSSample - Class in opennlp.tools.postag

Represents an pos-tagged sentence.

POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSampleEventStream - Class in opennlp.tools.postag

Reads the samples from an Iterator and converts those samples into events which can be used by the maxent library for training.

POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with given samples and a DefaultPOSContextGenerator.

POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with the given samples and a POSContextGenerator.

POSSampleSequenceStream - Class in opennlp.tools.postag

A SequenceStream implementation encapsulating samples.

POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

Creates a POSSampleSequenceStream with given samples using a DefaultPOSContextGenerator.

POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

Creates a POSSampleSequenceStream with given samples using a POSContextGenerator.

PosSampleStream - Class in opennlp.tools.parser

PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream

Initializes a instance.

POSTagFormat - Enum Class in opennlp.tools.postag

Defines the format for part-of-speech tagging, i.e.

POSTagFormatMapper - Class in opennlp.tools.postag

A mapping implementation for converting between different POS tag formats.

POSTagFormatMapper.NoOp - Class in opennlp.tools.postag

POSTagger - Interface in opennlp.tools.postag

The interface for part of speech taggers.

POSTaggerConverterTool - Class in opennlp.tools.cmdline.postag

Tool to convert multiple data formats into native OpenNLP part of speech tagging training format.

POSTaggerConverterTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerConverterTool

POSTaggerCrossValidator - Class in opennlp.tools.postag

POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.

POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.

POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

POSTaggerCrossValidatorTool - Class in opennlp.tools.cmdline.postag

POSTaggerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool

POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag

A marker interface for evaluating pos taggers.

POSTaggerEvaluatorTool - Class in opennlp.tools.cmdline.postag

A default POSSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

POSTaggerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool

POSTaggerFactory - Class in opennlp.tools.postag

The factory that provides POSTagger default implementations and resources.

POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory

Initializes a POSTaggerFactory that provides the default implementation of the resources.

POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory

Initializes a POSTaggerFactory from a given set of the resources.

POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag

PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen

A POS tagging driven feature generator.

PosTaggerFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator

PosTaggerFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PosTaggerFeatureGenerator instances when PosTaggerFeatureGeneratorFactory.create() is called.

PosTaggerFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory

POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag

Generates a detailed report for the POS Tagger.

POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

Creates a listener that will print to the configured logger.

POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

Creates a listener that prints to a given OutputStream.

POSTaggerME - Class in opennlp.tools.postag

A part-of-speech tagger implementation that uses maximum entropy.

POSTaggerME(String) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME by downloading a default model for a given language.

POSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME by downloading a default model for a given language.

POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME with the provided model.

POSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME with the provided model.

POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds the token POS tag as feature.

POSTaggerNameFeatureGenerator(POSModel) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a POSTaggerNameFeatureGenerator with the specified POSModel.

POSTaggerNameFeatureGenerator(POSTagger) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a POSTaggerNameFeatureGenerator with the specified POSTagger.

POSTaggerNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces POSTaggerNameFeatureGenerator instances when POSTaggerNameFeatureGeneratorFactory.create() is called.

POSTaggerNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory

POSTaggerTool - Class in opennlp.tools.cmdline.postag

POSTaggerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTool

POSTaggerTrainerTool - Class in opennlp.tools.cmdline.postag

POSTaggerTrainerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTrainerTool

POSToSentenceSampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStream

Initializes a POSToSentenceSampleStream.

POSToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

POSToSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

POSToTokenSampleStream - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStream

Initializes a POSToTokenSampleStream.

POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

Note: Do not use this class, internal use only!

POSToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert

precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure

Calculates the precision score for the given reference and predicted spans.

predictLanguage(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector

Predicts the Language for the full content length.

predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

predictLanguages(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector

Predicts the languages for the full content length.

predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Predict all possible lemmas (using a default upper bound).

predictNextTokens(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel

Predict the most probable output sequence of tokens, given an input sequence of tokens.

predictNextTokens(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel

predictSES(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Predict Short Edit Script (automatically induced lemma class).

predIndexes - Variable in class opennlp.tools.ml.model.ComparableEvent

PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen

A feature generator implementation that generates prefix-based features.

PrefixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator

Intializes a default PrefixFeatureGenerator.

PrefixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator

Intializes a PrefixFeatureGenerator with the specified prefixLength.

PrefixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PrefixFeatureGenerator instances when PrefixFeatureGeneratorFactory.create() is called.

PrefixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory

PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator

PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen

This AdaptiveFeatureGenerator generates features indicating the outcome associated with a previously occurring word.

PreviousMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

PreviousMapFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PreviousMapFeatureGenerator instances when PreviousMapFeatureGeneratorFactory.create() is called.

PreviousMapFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory

PreviousTwoMapFeatureGenerator - Class in opennlp.tools.util.featuregen

This AdaptiveFeatureGenerator generates features indicating the outcome associated with two previously occurring words.

PreviousTwoMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator

printf(String, Object...) - Method in class opennlp.tools.log.LogPrintStream

println(String) - Method in class opennlp.tools.log.LogPrintStream

printSummary() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

Prior - Interface in opennlp.tools.ml.model

This interface allows one to implement a prior distribution for use in maximum entropy model training.

Probabilities<T> - Class in opennlp.tools.ml.naivebayes

Class implementing the probability distribution over labels returned by a classifier.

Probabilities() - Constructor for class opennlp.tools.ml.naivebayes.Probabilities

Probability<T> - Class in opennlp.tools.ml.naivebayes

Class implementing the probability for a label.

Probability(T) - Constructor for class opennlp.tools.ml.naivebayes.Probability

Instantiates a Probability with a given label.

ProbingLanguageDetectionResult - Record Class in opennlp.tools.langdetect

A data container encapsulating language detection results.

ProbingLanguageDetectionResult(Language[], int) - Constructor for record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Creates an instance of a ProbingLanguageDetectionResult record class.

probingPredictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

probingPredictLanguages(CharSequence, LanguageDetectorConfig) - Method in class opennlp.tools.langdetect.LanguageDetectorME

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

probs() - Method in class opennlp.tools.chunker.ChunkerME

Returns an array with the probabilities of the last decoded sequence.

probs() - Method in class opennlp.tools.lemmatizer.LemmatizerME

Returns an array with the probabilities of the last decoded sequence.

probs() - Method in class opennlp.tools.namefind.NameFinderME

Retrieves the probabilities of the last decoded sequence.

probs() - Method in class opennlp.tools.postag.POSTaggerME

probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.namefind.NameFinderME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME

Populates the specified probs array with the probabilities for each tag of the last tagged sentence.

probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME

Retrieves an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.

processSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Evaluates the given reference sample.

processSample(LanguageSample) - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

Evaluates the given reference LanguageSample object.

pruneParse(Parse) - Static method in class opennlp.tools.parser.Parse

Prune the specified sentence parse of vacuous productions.

ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, double) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, int) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, String) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary

Associates the specified tags with the specified word.

put(String, String...) - Method in class opennlp.tools.postag.POSDictionary

put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key.

put(StringList) - Method in class opennlp.tools.dictionary.Dictionary

Adds the tokens to the dictionary as one new entry.

putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, String) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

putIfAbsent(String, String, String) - Method in class opennlp.tools.util.TrainingParameters

Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

Q

QNMinimizer - Class in opennlp.tools.ml.maxent.quasinewton

Implementation of the Limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm (L-BFGS) which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.

QNMinimizer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Initializes a QNMinimizer with default parameters (see: QNMinimizer.L1COST_DEFAULT and QNMinimizer.L2COST_DEFAULT).

QNMinimizer(double, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Initializes a QNMinimizer.

QNMinimizer(double, double, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Initializes a QNMinimizer with L1 and L2 parameters.

QNMinimizer(double, double, int, int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Initializes a QNMinimizer.

QNMinimizer.Evaluator - Interface in opennlp.tools.ml.maxent.quasinewton

Evaluate the quality of training parameters.

QNMinimizer.L2RegFunction - Class in opennlp.tools.ml.maxent.quasinewton

L2-regularized objective Function.

QNModel - Class in opennlp.tools.ml.maxent.quasinewton

A maximum entropy model which has been trained via the L-BFGS algorithm , which belongs to the group of Quasi Newton (QN) algorithms.

QNModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNModel

Initializes a QNModel with the specified parameters, predicate/feature labels, and outcome names.

QNModelReader - Class in opennlp.tools.ml.maxent.io

The base class for readers of QN models.

QNModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader

Initializes a QNModelReader via a File.

QNModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader

Initializes a QNModelReader via a DataReader.

QNModelWriter - Class in opennlp.tools.ml.maxent.io

The base class for writers of models.

QNModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.QNModelWriter

QNTrainer - Class in opennlp.tools.ml.maxent.quasinewton

A Maxent model trainer using the L-BFGS algorithm.

QNTrainer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Initializes a QNTrainer.

QNTrainer(int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Initializes a QNTrainer with the specified parameter m.

QNTrainer(int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Initializes a QNTrainer with the specified parameters.

QNTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Initializes a QNTrainer with the specified parameters.

R

read() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

read() - Method in class opennlp.tools.chunker.ChunkSampleStream

read() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

read() - Method in class opennlp.tools.doccat.DocumentSampleStream

read() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream

read() - Method in class opennlp.tools.formats.ad.ADNameSampleStream

read() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream

read() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream

read() - Method in class opennlp.tools.formats.ad.ADSentenceStream

read() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream

read() - Method in class opennlp.tools.formats.brat.BratAnnotationStream

read() - Method in class opennlp.tools.formats.brat.BratDocumentStream

read() - Method in class opennlp.tools.formats.brat.SegmenterObjectStream

read() - Method in class opennlp.tools.formats.Conll02NameSampleStream

read() - Method in class opennlp.tools.formats.Conll03NameSampleStream

read() - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStream

read() - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStream

read() - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStream

read() - Method in class opennlp.tools.formats.conllu.ConlluStream

read() - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStream

read() - Method in class opennlp.tools.formats.ConllXPOSSampleStream

read() - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream

read() - Method in class opennlp.tools.formats.convert.FileToByteArraySampleStream

read() - Method in class opennlp.tools.formats.convert.FileToStringSampleStream

read() - Method in class opennlp.tools.formats.convert.NameToTokenSampleStream

read() - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStream

read() - Method in class opennlp.tools.formats.convert.POSToTokenSampleStream

read() - Method in class opennlp.tools.formats.DirectorySampleStream

read() - Method in class opennlp.tools.formats.EvalitaNameSampleStream

read() - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream

read() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream

read() - Method in class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream

read() - Method in class opennlp.tools.formats.masc.MascDocument

read() - Method in class opennlp.tools.formats.masc.MascDocumentStream

Return the next document.

read() - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStream

Reads the next sample of named entities.

read() - Method in class opennlp.tools.formats.masc.MascPOSSampleStream

Reads the next sample.

read() - Method in class opennlp.tools.formats.masc.MascSentenceSampleStream

Reads a new sample of sentences.

read() - Method in class opennlp.tools.formats.masc.MascTokenSampleStream

read() - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStream

read() - Method in class opennlp.tools.formats.muc.MucNameSampleStream

read() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream

read() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream

read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream

read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream

read() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream

read() - Method in class opennlp.tools.langdetect.LanguageDetectorSampleStream

read() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

read() - Method in class opennlp.tools.lemmatizer.LemmaSampleStream

read() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream

Returns the next ObjectStream object.

read() - Method in class opennlp.tools.ml.model.ChecksumEventStream

read() - Method in class opennlp.tools.ml.model.FileEventStream

Returns the next Event object.

read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream

Returns the next Event object.

read() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

read() - Method in class opennlp.tools.namefind.NameSampleDataStream

read() - Method in class opennlp.tools.namefind.NameSampleSequenceStream

read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter

read() - Method in class opennlp.tools.parser.ChunkSampleStream

read() - Method in class opennlp.tools.parser.ParseSampleStream

read() - Method in class opennlp.tools.parser.PosSampleStream

read() - Method in class opennlp.tools.postag.POSSampleSequenceStream

read() - Method in class opennlp.tools.postag.WordTagSampleStream

Reads the next tokens and parses it into the next POSSample object.

read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream

read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream

read() - Method in class opennlp.tools.tokenize.TokenizerStream

read() - Method in class opennlp.tools.tokenize.TokenSampleStream

read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream

read() - Method in class opennlp.tools.util.AbstractEventStream

read() - Method in class opennlp.tools.util.AbstractObjectStream

read() - Method in class opennlp.tools.util.CollectionObjectStream

read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream

read() - Method in class opennlp.tools.util.EventTraceStream

read() - Method in interface opennlp.tools.util.ObjectStream

Returns the next ObjectStream object.

read() - Method in class opennlp.tools.util.ParagraphStream

read() - Method in class opennlp.tools.util.PlainTextByLineStream

read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Reads from the provided InputStream into a byte array.

readDouble() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readDouble() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readDouble() - Method in interface opennlp.tools.ml.model.DataReader

readDouble() - Method in class opennlp.tools.ml.model.ObjectDataReader

readDouble() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readInt() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readInt() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readInt() - Method in interface opennlp.tools.ml.model.DataReader

readInt() - Method in class opennlp.tools.ml.model.ObjectDataReader

readInt() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readUTF() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readUTF() - Method in class opennlp.tools.ml.model.BinaryFileDataReader

readUTF() - Method in interface opennlp.tools.ml.model.DataReader

readUTF() - Method in class opennlp.tools.ml.model.ObjectDataReader

readUTF() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader

readUTF(DataInputStream) - Static method in class opennlp.tools.ml.model.ModelParameterChunker

Reads model parameters from dis.

RealBasicEventStream - Class in opennlp.tools.ml.maxent

Class for real-valued events as an event stream. .

RealBasicEventStream(ObjectStream<String>) - Constructor for class opennlp.tools.ml.maxent.RealBasicEventStream

RealValueFileEventStream - Class in opennlp.tools.ml.model

Class for using a file of real-valued events as an event stream.

RealValueFileEventStream(File) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream via a File.

RealValueFileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream via a Reader.

RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream from the specified file name.

RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

Instantiates a RealValueFileEventStream from the specified file name.

recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure

Calculates the recall score for the given reference and predicted spans.

recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern

reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream

RegexNameFinder - Class in opennlp.tools.namefind

A TokenNameFinder implementation based on a series of regular expressions.

RegexNameFinder(Map<String, Pattern[]>) - Constructor for class opennlp.tools.namefind.RegexNameFinder

Initializes a RegexNameFinder instance.

RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder

Initializes a RegexNameFinder instance.

RegexNameFinderFactory - Class in opennlp.tools.namefind

Returns a RegexNameFinder based on a selection of defaults or a configuration and a selection of defaults.

RegexNameFinderFactory() - Constructor for class opennlp.tools.namefind.RegexNameFinderFactory

RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum Class in opennlp.tools.namefind

Enumeration of typical regex expressions available in OpenNLP.

RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind

register(Map<String, ArtifactSerializer<?>>) - Static method in class opennlp.tools.util.model.GenericModelSerializer

Registers a new GenericModelSerializer in the given factories mapping.

registerFactory() - Static method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ChunkerSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.Conll02NameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.Conll03NameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.DocumentSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.LemmatizerSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.NameSampleDataStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.ParseSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.SentenceSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.TokenSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory

registerFactory() - Static method in class opennlp.tools.formats.WordTagSampleStreamFactory

REL_GRAD_NORM_TOL - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

RELATION_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration

RelationAnnotation - Class in opennlp.tools.formats.brat

remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream

remove() - Method in class opennlp.tools.util.ReverseListIterator

remove(int) - Method in class opennlp.tools.parser.Parse

remove(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel

Removes the specified ngram is from a NGramCharModel.

remove(StringList) - Method in class opennlp.tools.dictionary.Dictionary

Removes the given tokens form the current instance.

remove(StringList) - Method in class opennlp.tools.ngram.NGramModel

Removes the specified tokens form the NGram model, they are just dropped.

replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream

reset() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

reset() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream

reset() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream

reset() - Method in class opennlp.tools.formats.ad.ADNameSampleStream

reset() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream

reset() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream

reset() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream

reset() - Method in class opennlp.tools.formats.brat.BratAnnotationStream

reset() - Method in class opennlp.tools.formats.brat.BratDocumentStream

reset() - Method in class opennlp.tools.formats.Conll02NameSampleStream

reset() - Method in class opennlp.tools.formats.Conll03NameSampleStream

reset() - Method in class opennlp.tools.formats.conllu.ConlluStream

reset() - Method in class opennlp.tools.formats.DirectorySampleStream

reset() - Method in class opennlp.tools.formats.EvalitaNameSampleStream

reset() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream

reset() - Method in class opennlp.tools.formats.masc.MascDocument

Resets the reading of sentences to the beginning of the document.

reset() - Method in class opennlp.tools.formats.masc.MascDocumentStream

Reset the reading of all documents to the first sentence.

reset() - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStream

reset() - Method in class opennlp.tools.formats.masc.MascPOSSampleStream

reset() - Method in class opennlp.tools.formats.masc.MascSentenceSampleStream

reset() - Method in class opennlp.tools.formats.masc.MascTokenSampleStream

reset() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream

reset() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream

reset() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream

reset() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

reset() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream

reset() - Method in class opennlp.tools.ml.model.FileEventStream

reset() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream

reset() - Method in class opennlp.tools.namefind.NameSampleSequenceStream

reset() - Method in class opennlp.tools.postag.POSSampleSequenceStream

reset() - Method in class opennlp.tools.stemmer.PorterStemmer

reset() resets the stemmer so it can stem another word.

reset() - Method in class opennlp.tools.tokenize.TokenizerStream

reset() - Method in class opennlp.tools.util.AbstractEventStream

reset() - Method in class opennlp.tools.util.AbstractObjectStream

reset() - Method in class opennlp.tools.util.CollectionObjectStream

reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream

Resets the training sample.

reset() - Method in class opennlp.tools.util.FilterObjectStream

reset() - Method in interface opennlp.tools.util.ObjectStream

Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.

reset() - Method in class opennlp.tools.util.PlainTextByLineStream

reset() - Method in interface opennlp.tools.util.ResetableIterator

Sets the Iterator back to the first retrieved element.

ResetableIterator<E> - Interface in opennlp.tools.util

This interface makes an Iterator resettable.

ReverseListIterator<T> - Class in opennlp.tools.util

An iterator for a list which returns values in the opposite order as the typical list iterator.

ReverseListIterator(List<T>) - Constructor for class opennlp.tools.util.ReverseListIterator

RIGHT_LEFT_MATCHING - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Attaches the token to the right token on first occurrence, and to the token on the left side on the second occurrence.

ROMANIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

romanianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

romanianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.romanianStemmer

root() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Returns the value of the root record component.

run(String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool

run(String[]) - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool

run(String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTool

run(String[]) - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool

run(String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool

run(String[]) - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool

run(String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool

run(String[]) - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool

run(String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool

run(String[]) - Method in class opennlp.tools.cmdline.parser.ParserTool

run(String[]) - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool

run(String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTool

run(String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool

Perform sentence detection on a stream of sentences.

run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool

run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool

run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool

run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool

run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool

run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool

run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool

RUSSIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

russianStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

russianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.russianStemmer

S

Sample - Interface in opennlp.tools.commons

Represents a generic type of processable elements.

scoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves a Map in which the key is the category name and the value is the score.

scoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

SDContextGenerator - Interface in opennlp.tools.sentdetect

Interface for SentenceDetectorME context generators.

SDCrossValidator - Class in opennlp.tools.sentdetect

A cross validator for sentence detectors.

SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

SDEventStream - Class in opennlp.tools.sentdetect

SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream

Initializes the current instance.

seen - Variable in class opennlp.tools.ml.model.ComparableEvent

SegmenterObjectStream<S,T> - Class in opennlp.tools.formats.brat

SegmenterObjectStream(ObjectStream<S>) - Constructor for class opennlp.tools.formats.brat.SegmenterObjectStream

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Detects sentences in a character sequence.

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detects sentences in given input CharSequence..

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Sentence(String, ADSentenceStream.SentenceParser.Node, String) - Constructor for record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Creates an instance of a Sentence record class.

SENTENCE_DETECTOR - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th

Creates contexts/features for end-of-sentence detection in Thai text.

SentenceContextGenerator() - Constructor for class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator

SentenceDetector - Interface in opennlp.tools.sentdetect

The interface for sentence detectors, which find the sentence boundaries in a text.

SentenceDetectorConverterTool - Class in opennlp.tools.cmdline.sentdetect

Tool to convert multiple data formats into native OpenNLP sentence detector training format.

SentenceDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorConverterTool

SentenceDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.sentdetect

SentenceDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool

SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect

SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect

The SentenceDetectorEvaluator measures the performance of the given SentenceDetector with the provided reference SentenceSamples.

SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorEvaluator

Initializes the current instance.

SentenceDetectorEvaluatorTool - Class in opennlp.tools.cmdline.sentdetect

A default SentenceSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

SentenceDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool

SentenceDetectorFactory - Class in opennlp.tools.sentdetect

The factory that provides SentenceDetector default implementations and resources

SentenceDetectorFactory() - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory

Creates a SentenceDetectorFactory that provides the default implementation of the resources.

SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory

Creates a SentenceDetectorFactory.

SentenceDetectorME - Class in opennlp.tools.sentdetect

A sentence detector for splitting up raw text into sentences.

SentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Initializes the sentence detector by downloading a default model.

SentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Initializes the current instance.

SentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Instantiates a SentenceDetectorME with an existing SentenceModel.

SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.

Use a SentenceDetectorFactory to extend SentenceDetector functionality.

SentenceDetectorTool - Class in opennlp.tools.cmdline.sentdetect

A sentence detector which uses a maxent model to predict the sentences.

SentenceDetectorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool

SentenceDetectorTrainerTool - Class in opennlp.tools.cmdline.sentdetect

SentenceDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool

SentenceEvaluationErrorListener - Class in opennlp.tools.cmdline.sentdetect

A default implementation of EvaluationMonitor that prints to an output stream.

SentenceEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener

Creates a listener that will print to the configured logger.

SentenceEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen

This feature generator creates sentence begin and end features.

SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator

SentenceFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces SentenceFeatureGenerator instances when SentenceFeatureGeneratorFactory.create() is called.

SentenceFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory

SentenceModel - Class in opennlp.tools.sentdetect

The SentenceModel is the model used by a learnable SentenceDetector.

SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid File.

SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid InputStream.

SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via given parameters.

SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid URL.

SentenceModel(Path) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid Path.

SentenceParser() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

SentenceSample - Class in opennlp.tools.sentdetect

A SentenceSample contains a document with begin indexes of the individual sentences.

SentenceSample(CharSequence, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample

Initializes the current instance.

SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample

SentenceSampleStream - Class in opennlp.tools.sentdetect

This class is a stream filter which reads a sentence by line samples from an ObjectStream and converts them into SentenceSample objects.

SentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream

SentenceSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP SentenceSampleStreams.

SentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentPosDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Detects sentences in a character sequence.

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detects the position of the first words of sentences in a CharSequence.

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Sequence<T> - Class in opennlp.tools.ml.model

Class which models a sequence.

Sequence - Class in opennlp.tools.util

Represents a weighted sequence of outcomes.

Sequence() - Constructor for class opennlp.tools.util.Sequence

Initializes a new Sequence of outcomes.

Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence

Initializes a new Sequence of outcomes from a list of outcomes.

Sequence(Event[], T) - Constructor for class opennlp.tools.ml.model.Sequence

Initializes Sequence made up of the specified events and derived from the specified source.

Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence

Initializes a new Sequence of outcomes from an existing Sequence.

Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence

Initializes a new Sequence of outcomes from an existing Sequence.

SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType

SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer

SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer

SequenceClassificationModel - Interface in opennlp.tools.ml.model

A classification model that can label an input Sequence.

SequenceCodec<T> - Interface in opennlp.tools.util

A codec for sequences of type SequenceCodec.

SequenceStream<S> - Interface in opennlp.tools.ml.model

Interface for streams of sequences used to train sequence models.

SequenceStreamEventStream - Class in opennlp.tools.ml.model

Class which turns a SequenceStream into an event stream.

SequenceStreamEventStream(SequenceStream<Event>) - Constructor for class opennlp.tools.ml.model.SequenceStreamEventStream

SequenceTrainer - Interface in opennlp.tools.ml

SequenceValidator<T> - Interface in opennlp.tools.util

SerializableArtifact - Interface in opennlp.tools.util.model

A marker interface so that implementing classes can refer to the corresponding ArtifactSerializer implementation.

serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer

serialize(File) - Method in class opennlp.tools.util.model.BaseModel

Serializes the model to the specified File.

serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary

Writes the current instance to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel

Writes the ngram instance to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary

Writes the POSDictionary to the given OutputStream;

serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary

Serializes the current state of a DetokenizationDictionary via an output stream.

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel

Serializes the model to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters

Serializes a TrainingParameters instance via a specified OutputStream.

serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Serializes the given entries to the given OutputStream.

serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules

Serializes the head rules via a Writer in a format suitable for loading the head rules again.

serialize(Writer) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

Serializes the head rules via a Writer in a format suitable for loading the head rules again.

serialize(Path) - Method in class opennlp.tools.util.model.BaseModel

Serializes the model to the specified Path.

serialize(ChunkerModel, OutputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer

serialize(Dictionary, OutputStream) - Method in class opennlp.tools.util.model.DictionarySerializer

serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer

serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer

serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer

serialize(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer

serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer

serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer

Serializes an artifact to the provided OutputStream.

set(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a probability to a label, discarding any previously assigned probability.

set(double) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a probability to a label, discarding any previously assigned probability.

set(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a probability to a label, discarding any previously assigned probability.

set(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a probability to a label, discarding any previously assigned probability.

set(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label t, discarding any previously assigned probability.

set(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Assigns a probability to a label t, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label t, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Assigns a probability to a label t, discarding any previously assigned probability.

setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Updates line search elements.

setAll(double, double, double, double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Updates line search elements.

setChild(int, String) - Method in class opennlp.tools.parser.Parse

Replaces the child at the specified index with a new child with the specified label.

setChunkSize(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setConfidence(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Sets the best confidence with which this set of probabilities has been calculated.

setCount(CharSequence, int) - Method in class opennlp.tools.ngram.NGramCharModel

Sets the count of an existing ngram.

setCount(StringList, int) - Method in class opennlp.tools.ngram.NGramModel

Sets the count of an existing ngram.

setCurrent(char[], int) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Set the current string.

setCurrent(String) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Set the current string.

setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator

setCurrPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse

Specifies the derivation string to be associated with this parse.

setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

setEnd(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream

setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser

Specifies whether the parser should report when it was unable to find a parse for a particular sentence.

setEvaluator(QNMinimizer.Evaluator) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

setFctEvalCount(int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory

setFunctionalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

setGaussianSigma(double) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setGradAtCurr(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.

setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink

setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink

setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink

setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink

setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.SimpleTokenizer

Switches whether to keep new lines or not.

setLabel(String) - Method in class opennlp.tools.parser.Constituent

Assigns the label to the constituent.

setLabel(String) - Method in class opennlp.tools.parser.Parse

Assigns this parse the specified label.

setLabels(String[], String[]) - Method in interface opennlp.tools.ml.model.Prior

Method to specify the label for the outcomes and contexts.

setLabels(String[], String[]) - Method in class opennlp.tools.ml.model.UniformPrior

setLemma(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

setLevel(int) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

setLexeme(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

setLinkedEntries(ArrayList<T>) - Method in class opennlp.tools.entitylinker.LinkedSpan

setLog(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a log probability to a label, discarding any previously assigned probability.

setLog(double) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a log probability to a label, discarding any previously assigned probability.

setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a log probability to a label t, discarding any previously assigned probability.

setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Assigns a log probability to a label t, discarding any previously assigned probability.

setMatchingPatterns(Pattern[]) - Method in class opennlp.tools.namefind.RegexNameFinder

setMaxLength(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setMinConsecImprovements(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setMinDiff(double) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

setNextPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse

Sets the punctuation tags which follow this parse.

setNote(String) - Method in class opennlp.tools.formats.brat.BratAnnotation

setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Assigns the parameter or expected value at the specified outcomeIndex the specified value.

setParams(String[]) - Static method in class opennlp.tools.util.TrainingParameters

setParent(Parse) - Method in class opennlp.tools.parser.Parse

Specifies the parent parse node for this constituent.

setParents(Parse) - Static method in class opennlp.tools.parser.AbstractBottomUpParser

Assigns parent references for the specified parse so that they are consistent with the children references.

setPrevPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse

Sets the punctuation tags which precede this parse.

setPseudoGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setScoreMap(Map<String, Double>) - Method in class opennlp.tools.entitylinker.BaseLink

setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan

setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan

setSignVector(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setSkippedAveraging(boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Enables skipped averaging, this flag changes the standard averaging to special averaging instead.

setSmoothing(boolean) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setSmoothingObservation(double) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setSpanType(String) - Method in class opennlp.tools.namefind.RegexNameFinder

setStart(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream

setStepSize(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setStepSizeDecrease(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Enables and sets step size decrease.

setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory

setTolerance(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Specifies the tolerance.

setType(String) - Method in class opennlp.tools.parser.Parse

Set the type of this constituent to the specified type.

setValue(String, String) - Method in class opennlp.tools.dictionary.serializer.Attributes

Sets a key/value pair.

setValueAtCurr(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setValueAtNext(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

SgmlParser - Class in opennlp.tools.formats.muc

A SAX style SGML parser.

SgmlParser() - Constructor for class opennlp.tools.formats.muc.SgmlParser

SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc

Defines methods to handle content produced by a SgmlParser.

show() - Method in class opennlp.tools.parser.Parse

Prints this parse using Penn Treebank-style formatting.

show(StringBuffer) - Method in class opennlp.tools.parser.Parse

Fills the specified StringBuffer with a string representation of this parse.

showCodeTree() - Method in class opennlp.tools.parser.Parse

Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.

ShrinkCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A ShrinkCharSequenceNormalizer implementation that shrinks repeated spaces / chars in text.

ShrinkCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer

SIGNATURE_CHUNKED_PARAMS - Static variable in class opennlp.tools.ml.model.ModelParameterChunker

SimplePerceptronSequenceTrainer - Class in opennlp.tools.ml.perceptron

Trains models with sequences using the perceptron algorithm.

SimplePerceptronSequenceTrainer() - Constructor for class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

Instantiates a SimplePerceptronSequenceTrainer with a default configuration of training parameters.

SimpleTokenizer - Class in opennlp.tools.tokenize

A basic Tokenizer implementation which performs tokenization using character classes.

SimpleTokenizerTool - Class in opennlp.tools.cmdline.tokenizer

SimpleTokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool

since() - Element in annotation interface opennlp.tools.commons.Internal

The OpenNLP release when an element was first declared internal.

since() - Element in annotation interface opennlp.tools.commons.ThreadSafe

The OpenNLP release when an element was first declared thread-safe.

size() - Method in class opennlp.tools.dictionary.Dictionary

size() - Method in class opennlp.tools.ngram.NGramCharModel

Retrieves the number of entries in a NGramCharModel.

size() - Method in class opennlp.tools.ngram.NGramModel

Retrieves the number of StringList entries in the current instance.

size() - Method in class opennlp.tools.util.StringList

size() - Method in interface opennlp.tools.util.wordvector.WordVectorTable

SnowballProgram - Class in opennlp.tools.stemmer.snowball

Base class for a snowball stemmer

SnowballProgram(SnowballProgram) - Constructor for class opennlp.tools.stemmer.snowball.SnowballProgram

SnowballStemmer - Class in opennlp.tools.stemmer.snowball

SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer.ALGORITHM - Enum Class in opennlp.tools.stemmer.snowball

SORT_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

SORT_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

sortedScoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Retrieves a SortedMap of the scores sorted in ascending order, together with their associated categories.

sortedScoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

SPA - Enum constant in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Span - Class in opennlp.tools.util

Class for storing start and end integer offsets.

Span(int, int) - Constructor for class opennlp.tools.util.Span

Initializes a new Span.

Span(int, int, double) - Constructor for class opennlp.tools.util.Span

Initializes a new Span.

Span(int, int, String) - Constructor for class opennlp.tools.util.Span

Initializes a new Span.

Span(int, int, String, double) - Constructor for class opennlp.tools.util.Span

Initializes a new Span.

Span(Span, double) - Constructor for class opennlp.tools.util.Span

Creates a new immutable Span based on an existing Span, where the existing Span did not include the probability.

Span(Span, int) - Constructor for class opennlp.tools.util.Span

Initializes a new Span with an existing Span which is shifted by an offset.

SPAN_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration

SpanAnnotation - Class in opennlp.tools.formats.brat

SPANISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

spanishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

spanishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.spanishStemmer

spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span

Converts an array of spans to an array of String.

spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span

SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME

Constant indicates a sentence split.

SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME

Constant indicates a token split.

START - Static variable in class opennlp.tools.namefind.BilouCodec

START - Static variable in class opennlp.tools.namefind.BioCodec

START - Static variable in class opennlp.tools.namefind.NameFinderME

START - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Prefix for outcomes starting a constituent.

START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream

START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream

startElement(String, String, String, Attributes) - Method in class opennlp.tools.formats.masc.MascNamedEntityParser

startElement(String, String, String, Attributes) - Method in class opennlp.tools.formats.masc.MascPennTagParser

startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.MucNameContentHandler

startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler

Handles a SGML start element.

startsWith(Span) - Method in class opennlp.tools.util.Span

stem() - Method in class opennlp.tools.stemmer.PorterStemmer

Stem the word placed into the Stemmer buffer through calls to add().

stem() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.danishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.dutchStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.englishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.finnishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.frenchStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.germanStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.greekStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.irishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.italianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.porterStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.romanianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.russianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.spanishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.swedishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.turkishStemmer

stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a char[].

stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a leading portion of a char[] array.

stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a portion of a char[] array.

stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer

stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a CharSequence.

stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer

stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer

stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a String.

Stemmer - Interface in opennlp.tools.stemmer

The stemmer is reducing a word to its stem.

StringInterner - Interface in opennlp.tools.util.jvm

A marker-interface for a String interner implementation.

StringInterners - Class in opennlp.tools.util.jvm

Provides string interning utility methods.

StringInterners() - Constructor for class opennlp.tools.util.jvm.StringInterners

StringList - Class in opennlp.tools.util

A StringList is an immutable list of Strings.

StringList(boolean, String...) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringList(String) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringList(String...) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringPattern - Class in opennlp.tools.util.featuregen

Recognizes predefined patterns in strings.

StringUtil - Class in opennlp.tools.util

StringUtil() - Constructor for class opennlp.tools.util.StringUtil

SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen

A feature generator implementation that generates suffix-based features.

SuffixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator

Intializes a SuffixFeatureGenerator.

SuffixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator

Intializes a SuffixFeatureGenerator with the specified suffixLength.

SuffixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces SuffixFeatureGenerator instances when SuffixFeatureGeneratorFactory.create() is called.

SuffixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory

sumFeatures(Context[], float[], double[]) - Static method in class opennlp.tools.ml.ArrayMath

SWEDISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

swedishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

swedishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.swedishStemmer

T

tag() - Method in record class opennlp.tools.util.TokenTag

Returns the value of the tag record component.

tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME

Returns at most the specified numTaggings for the specified sentence.

tag(String[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence of tokens pos tags.

tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME

Assigns the sentence of tokens pos tags.

tag(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence of tokens pos tags.

tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

Assigns the sentence of tokens pos tags.

tag(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

TAG - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum

Deprecated.

TagDictionary - Interface in opennlp.tools.postag

Interface to determine which tags are valid for a particular word based on a tag dictionary.

TaggerModelReplacerTool - Class in opennlp.tools.cmdline.parser

TaggerModelReplacerTool() - Constructor for class opennlp.tools.cmdline.parser.TaggerModelReplacerTool

text() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Returns the value of the text record component.

thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

THREADS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

THREADS_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

THREADS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

ThreadSafe - Annotation Interface in opennlp.tools.commons

Classes, fields, or methods annotated @ThreadSafe are safe to use in multithreading contexts.

ThreadSafeChunkerME - Class in opennlp.tools.chunker

A thread-safe version of the ChunkerME.

ThreadSafeChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ThreadSafeChunkerME

Initializes a ThreadSafeChunkerME with the specified model.

ThreadSafeLanguageDetectorME - Class in opennlp.tools.langdetect

A thread-safe version of the LanguageDetectorME.

ThreadSafeLanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

Initializes a ThreadSafeLanguageDetectorME with the specified model.

ThreadSafeLemmatizerME - Class in opennlp.tools.lemmatizer

A thread-safe version of the LemmatizerME.

ThreadSafeLemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

Initializes a ThreadSafeLemmatizerME with the specified model.

ThreadSafeNameFinderME - Class in opennlp.tools.namefind

A thread-safe version of NameFinderME.

ThreadSafeNameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.ThreadSafeNameFinderME

Initializes a ThreadSafeNameFinderME with the specified model.

ThreadSafePOSTaggerME - Class in opennlp.tools.postag

A thread-safe version of the POSTaggerME.

ThreadSafePOSTaggerME(String) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

Initializes a ThreadSafePOSTaggerME by downloading a default model for a given language.

ThreadSafePOSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

Initializes a ThreadSafePOSTaggerME by downloading a default model for a given language.

ThreadSafePOSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

Initializes a ThreadSafePOSTaggerME with the specified model.

ThreadSafePOSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

Initializes a ThreadSafePOSTaggerME with the specified model.

ThreadSafeSentenceDetectorME - Class in opennlp.tools.sentdetect

A thread-safe version of SentenceDetectorME.

ThreadSafeSentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Initializes a ThreadSafeSentenceDetectorME by downloading a default model for a given language.

ThreadSafeSentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Initializes a ThreadSafeSentenceDetectorME with the specified model.

ThreadSafeSentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Instantiates a ThreadSafeSentenceDetectorME with an existing SentenceModel.

ThreadSafeTokenizerME - Class in opennlp.tools.tokenize

A thread-safe version of TokenizerME.

ThreadSafeTokenizerME(String) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

Initializes a ThreadSafeTokenizerME by downloading a default model for a given language.

ThreadSafeTokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

Initializes a ThreadSafeTokenizerME with the specified model.

ThreadSafeTokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

Instantiates a ThreadSafeTokenizerME with an existing TokenizerModel.

toCaseInsensitive() - Method in class opennlp.tools.util.StringList

toCaseSensitive() - Method in class opennlp.tools.util.StringList

toContraction(String, String) - Static method in class opennlp.tools.formats.ad.PortugueseContractionUtility

Merges a contraction.

toDictionary() - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contain all StringList which are in the current NGramModel.

toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contains all StringLists which are in the current NGramModel.

toDoubleArray(List<Double>) - Static method in class opennlp.tools.ml.ArrayMath

Convert a list of Double objects into an array of primitive doubles.

toDoubleBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector

toFloatBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector

toIntArray(List<Integer>) - Static method in class opennlp.tools.ml.ArrayMath

Convert a list of Integer objects into an array of primitive integers.

TOK_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

The label for a token node.

token() - Method in record class opennlp.tools.util.TokenTag

Returns the value of the token record component.

TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates features for the class of a token.

TokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator

Initalizes a TokenClassFeatureGenerator which won't generate the w&c feature per token.

TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator

Initalizes a TokenClassFeatureGenerator.

TokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TokenClassFeatureGenerator instances when TokenClassFeatureGeneratorFactory.create() is called.

TokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory

TokenContextGenerator - Interface in opennlp.tools.tokenize

Interface for context generators required for TokenizerME.

TokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer

A default implementation of EvaluationMonitor that prints to an output stream.

TokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener

Creates a listener that will print to the configured logger.

TokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil

Generates a class name for the specified token.

TokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates a feature which contains a token itself.

TokenFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator

Initializes a TokenFeatureGenerator.

TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator

Initializes a TokenFeatureGenerator.

TokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TokenFeatureGenerator instances when TokenFeatureGeneratorFactory.create() is called.

TokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory

tokenize(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer

tokenize(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME

tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer

Splits a string into its atomic parts.

tokenize(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer

tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer

tokenizePos(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME

tokenizePos(String) - Method in interface opennlp.tools.tokenize.Tokenizer

Finds the boundaries of atomic parts in a string.

tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME

Tokenizes the string.

tokenizePos(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer

tokenizePos(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer

Tokenizer - Interface in opennlp.tools.tokenize

The interface for tokenizers, which segment a string into its tokens.

TOKENIZER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType

TokenizerConverterTool - Class in opennlp.tools.cmdline.tokenizer

Tool to convert multiple data formats into native OpenNLP sentence detector training format.

TokenizerConverterTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerConverterTool

TokenizerCrossValidator - Class in opennlp.tools.tokenize

A cross validator for tokenizers.

TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator

Creates a TokenizerCrossValidator using the given TokenizerFactory.

TokenizerCrossValidatorTool - Class in opennlp.tools.cmdline.tokenizer

TokenizerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool

TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize

A marker interface for evaluating tokenizers.

TokenizerEvaluator - Class in opennlp.tools.tokenize

The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference samples.

TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator

Initializes an instance to evaluate a Tokenizer.

TokenizerFactory - Class in opennlp.tools.tokenize

The factory that provides Tokenizer default implementation and resources.

TokenizerFactory() - Constructor for class opennlp.tools.tokenize.TokenizerFactory

Instantiates a TokenizerFactory that provides the default implementation of the resources.

TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory

Instantiates a TokenizerFactory.

TokenizerME - Class in opennlp.tools.tokenize

A Tokenizer for converting raw text into separated tokens.

TokenizerME(String) - Constructor for class opennlp.tools.tokenize.TokenizerME

Initializes a TokenizerME by downloading a default model.

TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME

Instantiates a TokenizerME with an existing TokenizerModel.

TokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.TokenizerME

Instantiates a TokenizerME with an existing TokenizerModel.

TokenizerMEEvaluatorTool - Class in opennlp.tools.cmdline.tokenizer

A default TokenSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

TokenizerMEEvaluatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool

TokenizerMETool - Class in opennlp.tools.cmdline.tokenizer

TokenizerMETool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMETool

TokenizerModel - Class in opennlp.tools.tokenize

The TokenizerModel is the model used by a learnable Tokenizer.

TokenizerModel(File) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a valid File.

TokenizerModel(InputStream) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a valid InputStream.

TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a valid URL.

TokenizerModel(Path) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a valid Path.

TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a MaxentModel and related resources.

TokenizerModelLoader - Class in opennlp.tools.cmdline.tokenizer

Loads a TokenizerModel for the command line tools.

TokenizerModelLoader() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerModelLoader

TokenizerStream - Class in opennlp.tools.tokenize

The TokenizerStream uses a Tokenizer to tokenize the input string and output samples.

TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream

Initializes a instance.

TokenizerTrainerTool - Class in opennlp.tools.cmdline.tokenizer

TokenizerTrainerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool

TokenNameFinder - Interface in opennlp.tools.namefind

The interface for name finders which provide name tags for a sequence of tokens.

TokenNameFinderConverterTool - Class in opennlp.tools.cmdline.namefind

Tool to convert multiple data formats into native OpenNLP name finder training format.

TokenNameFinderConverterTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderConverterTool

TokenNameFinderCrossValidator - Class in opennlp.tools.namefind

Cross validator for TokenNameFinder.

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderCrossValidatorTool - Class in opennlp.tools.cmdline.namefind

TokenNameFinderCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool

TokenNameFinderDetailedFMeasureListener - Class in opennlp.tools.cmdline.namefind

TokenNameFinderDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener

TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind

A marker interface for evaluating name finders.

TokenNameFinderEvaluator - Class in opennlp.tools.namefind

The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided reference samples.

TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator

Initializes a TokenNameFinderEvaluator for a given TokenNameFinder.

TokenNameFinderEvaluatorTool - Class in opennlp.tools.cmdline.namefind

A default NameSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.

TokenNameFinderEvaluatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool

TokenNameFinderFactory - Class in opennlp.tools.namefind

The factory that provides TokenNameFinder default implementations and resources.

TokenNameFinderFactory() - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a TokenNameFinderFactory that provides the default implementation of the resources.

TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a TokenNameFinderFactory instance via given parameters.

TokenNameFinderFineGrainedReportListener - Class in opennlp.tools.cmdline.namefind

Generates a detailed report for the NameFinder.

TokenNameFinderFineGrainedReportListener(SequenceCodec<String>) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

Creates a listener that will print to the configured logger.

TokenNameFinderFineGrainedReportListener(SequenceCodec<String>, OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

Creates a listener that prints to a given OutputStream.

TokenNameFinderModel - Class in opennlp.tools.namefind

The TokenNameFinderModel is the model used by a learnable TokenNameFinder.

TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid File.

TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid InputStream.

TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, SequenceClassificationModel, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid URL.

TokenNameFinderModel(Path) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid Path.

TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind

TokenNameFinderModelLoader - Class in opennlp.tools.cmdline.namefind

Loads a TokenNameFinderModel for the command line tools.

TokenNameFinderModelLoader() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader

TokenNameFinderTool - Class in opennlp.tools.cmdline.namefind

TokenNameFinderTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTool

TokenNameFinderTrainerTool - Class in opennlp.tools.cmdline.namefind

TokenNameFinderTrainerTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool

TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen

Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.

TokenPatternFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

Initializes a TokenPatternFeatureGenerator.

TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

Initializes a TokenPatternFeatureGenerator instance.

TokenPatternFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory instantiates TokenPatternFeatureGenerator instances when TokenPatternFeatureGeneratorFactory.create() is called.

TokenPatternFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory

tokens() - Method in record class opennlp.tools.dictionary.serializer.Entry

Returns the value of the tokens record component.

tokens() - Method in interface opennlp.tools.util.wordvector.WordVectorTable

TokenSample - Class in opennlp.tools.tokenize

A TokenSample is text with token spans.

TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample

Initializes a instance.

TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample

Initializes a instance via a Detokenizer.

TokenSampleStream - Class in opennlp.tools.tokenize.lang.en

Class which produces an Iterator<TokenSample> from a file of space delimited token.

TokenSampleStream - Class in opennlp.tools.tokenize

This class is a stream filter which reads in string encoded samples and creates samples out of them.

TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream

TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

Initializes a instance.

TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

Initializes a instance.

TokenSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP TokenSampleStreams.

TokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

TokenTag - Record Class in opennlp.tools.util

TokenTag(String, String, String[]) - Constructor for record class opennlp.tools.util.TokenTag

Creates an instance of a TokenTag record class.

TokSpanEventStream - Class in opennlp.tools.tokenize

This class reads the samples via an Iterator and converts the samples into events which can be used by the maxent library for training.

TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator that relies on a DefaultTokenContextGenerator.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator.

TOLERANCE_DEFAULT - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer

toLine(Event) - Static method in class opennlp.tools.ml.model.FileEventStream

Generates a string representing the specified event.

toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil

Converts a CharSequence to lower case, independent of the current Locale via Character.toLowerCase(int) which uses mapping information from the UnicodeData file.

toLowerCaseCharBuffer(CharSequence) - Static method in class opennlp.tools.util.StringUtil

TOP_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

The label for the top node.

topKLemmaClasses(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKLemmaClasses(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence the top-k sequences.

topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME

Assigns the sentence the top-k sequences.

topKSequences(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence the top-k sequences.

topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

Assigns the sentence the top-k sequences.

topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker

Computes the top k chunk sequences for the specified sentence with the specified pos-tags.

topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME

topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME

topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKSequences(String[], String[], double) - Method in interface opennlp.tools.chunker.Chunker

Computes the top k chunk sequences for the specified sentence with the specified pos-tags.

topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME

topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME

topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME

toSpan() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer

toString() - Method in class opennlp.tools.chunker.ChunkSample

toString() - Method in class opennlp.tools.dictionary.Dictionary

toString() - Method in record class opennlp.tools.dictionary.serializer.Entry

Returns a string representation of this record class.

toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Represents this object as human-readable String.

toString() - Method in class opennlp.tools.doccat.DocumentSample

toString() - Method in class opennlp.tools.entitylinker.BaseLink

toString() - Method in class opennlp.tools.entitylinker.LinkedSpan

toString() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence

Returns a string representation of this record class.

toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node

toString() - Method in class opennlp.tools.formats.brat.AttributeAnnotation

toString() - Method in class opennlp.tools.formats.brat.BratAnnotation

toString() - Method in class opennlp.tools.formats.brat.RelationAnnotation

toString() - Method in class opennlp.tools.formats.brat.SpanAnnotation

toString() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer

toString() - Method in class opennlp.tools.langdetect.Language

toString() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

Represents this object as human-readable String.

toString() - Method in record class opennlp.tools.langdetect.LanguageSample

Returns a string representation of this record class.

toString() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns a string representation of this record class.

toString() - Method in class opennlp.tools.lemmatizer.LemmaSample

toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

Returns this object's human-readable String representation.

toString() - Method in class opennlp.tools.ml.model.ComparableEvent

toString() - Method in class opennlp.tools.ml.model.ComparablePredicate

toString() - Method in class opennlp.tools.ml.model.Event

toString() - Method in class opennlp.tools.ml.naivebayes.LogProbability

toString() - Method in class opennlp.tools.ml.naivebayes.Probabilities

toString() - Method in class opennlp.tools.ml.naivebayes.Probability

toString() - Method in class opennlp.tools.namefind.NameSample

toString() - Method in class opennlp.tools.ngram.NGramCharModel

toString() - Method in class opennlp.tools.ngram.NGramModel

toString() - Method in class opennlp.tools.parser.Parse

Represents this Parse in a human-readable way.

toString() - Method in class opennlp.tools.postag.POSDictionary

toString() - Method in class opennlp.tools.postag.POSEvaluator

Represents this object as human-readable String.

toString() - Method in class opennlp.tools.postag.POSSample

toString() - Method in class opennlp.tools.sentdetect.SentenceSample

toString() - Method in class opennlp.tools.stemmer.PorterStemmer

After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)

toString() - Method in class opennlp.tools.tokenize.TokenSample

toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner

toString() - Method in class opennlp.tools.util.eval.FMeasure

toString() - Method in class opennlp.tools.util.eval.Mean

toString() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator

toString() - Method in class opennlp.tools.util.Sequence

toString() - Method in class opennlp.tools.util.Span

toString() - Method in class opennlp.tools.util.StringList

toString() - Method in record class opennlp.tools.util.TokenTag

Returns a string representation of this record class.

toString() - Method in class opennlp.tools.util.Version

The Version.parse(String) method can create an instance of Version with the returned version value string.

toStringPennTreebank() - Method in class opennlp.tools.parser.Parse

toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil

Converts a CharSequence to upper case, independent of the current Locale via Character.toUpperCase(char) which uses mapping information from the UnicodeData file.

train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME

Starts a training of a TokenNameFinderModel with the given parameters.

train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME

Starts a training of a ChunkerModel with the given parameters.

train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME

Starts a training of a DoccatModel with the given parameters.

train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME

Starts a training of a LemmatizerModel with the given parameters.

train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser

Starts a training of a ParserModel.

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser

Starts a training of a ParserModel.

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser

Starts a training of a ParserModel.

train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME

Starts a training of a POSModel with the given parameters.

train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Starts a training of a SentenceModel with the given parameters.

train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer

Trains a MaxentModel for given events.

train(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

train(SequenceStream<T>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer

Trains a MaxentModel for given events.

train(SequenceStream<T>) - Method in interface opennlp.tools.ml.SequenceTrainer

Trains a SequenceClassificationModel for given events.

train(ObjectStream<LanguageSample>, TrainingParameters, LanguageDetectorFactory) - Static method in class opennlp.tools.langdetect.LanguageDetectorME

Starts a training of a LanguageDetectorModel with the given parameters.

train(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer

train(ObjectStream<Event>) - Method in interface opennlp.tools.ml.EventTrainer

Trains a MaxentModel for given events.

train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME

Trains a model for the TokenizerME.

Trainer - Interface in opennlp.tools.commons

Represents a common base for training implementations.

TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

TrainerFactory - Class in opennlp.tools.ml

A factory to initialize Trainer instances depending on a trainer type configured via TrainingParameters.

TrainerFactory() - Constructor for class opennlp.tools.ml.TrainerFactory

TrainerFactory.TrainerType - Enum Class in opennlp.tools.ml

TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TrainingParameters - Class in opennlp.tools.util

Declares and handles default parameters used for or during training models.

TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters

No-arg constructor to create a default TrainingParameters instance.

TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters

InputStream based constructor that reads in TrainingParameters.

TrainingParameters(Map<String, Object>) - Constructor for class opennlp.tools.util.TrainingParameters

Key-value based constructor to apply a Map based configuration initialization.

TrainingParameters(TrainingParameters) - Constructor for class opennlp.tools.util.TrainingParameters

Copy constructor to hand over the config of existing TrainingParameters.

TrainingToolParams - Interface in opennlp.tools.cmdline.params

Common training parameters.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a model using the GIS algorithm.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Trains a model using the QN algorithm.

trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a model using the GIS algorithm.

trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Trains a PerceptronModel with given parameters.

trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Trains a PerceptronModel with given parameters.

trainModel(int, DataIndexer, Prior, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a model using the GIS algorithm.

trainModel(int, SequenceStream<Event>, int, boolean) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

Trains a PerceptronModel with given parameters.

trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

Trains a NaiveBayesModel with given parameters.

trainModel(ObjectStream<Event>) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a model using the GIS algorithm, assuming 100 iterations and no cutoff.

trainModel(ObjectStream<Event>, int, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.

TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

TREEINSERT - Enum constant in enum class opennlp.tools.parser.ParserType

TrigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds trigram features based on tokens and token classes.

TrigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator

TrigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TrigramNameFeatureGenerator instances when TrigramNameFeatureGeneratorFactory.create() is called.

TrigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory

trim(CharSequence) - Method in class opennlp.tools.util.Span

TURKISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

turkishStemmer - Class in opennlp.tools.stemmer.snowball

This class implements the stemming algorithm defined by a snowball script.

turkishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.turkishStemmer

TwentyNewsgroupSampleStream - Class in opennlp.tools.formats

An ObjectStream implementation for the Twenty Newsgroups text corpus.

TwentyNewsgroupSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

TwentyNewsgroupSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

TwitterCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A TwitterCharSequenceNormalizer implementation that normalizes text in terms of Twitter character patterns.

TwitterCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer

TwoPassDataIndexer - Class in opennlp.tools.ml.model

Collecting event and context counts by making two passes over the events.

TwoPassDataIndexer() - Constructor for class opennlp.tools.ml.model.TwoPassDataIndexer

U

U - Enum constant in enum class opennlp.tools.formats.conllu.ConlluTagset

UD - Enum constant in enum class opennlp.tools.postag.POSTagFormat

UncloseableInputStream - Class in opennlp.tools.util.model

An InputStream which cannot be closed.

UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream

UniformPrior - Class in opennlp.tools.ml.model

Provide a maximum entropy model with a uniform Prior.

UniformPrior() - Constructor for class opennlp.tools.ml.model.UniformPrior

UNIT - Static variable in class opennlp.tools.namefind.BilouCodec

UNKNOWN - Enum constant in enum class opennlp.tools.postag.POSTagFormat

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator

Informs all the feature generators that the specified tokens have been classified with the corresponds set of specified outcomes.

updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Informs a feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

Calls the AdaptiveFeatureGenerator.updateAdaptiveData(String[], String[]) method on all aggregated feature generators.

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

Generates previous decision features for the token based on contents of the previous map.

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator

updateBuildModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified buildModel for exchange.

updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified checkModel for exchange.

updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified chunkModel for exchange.

updateContext(Sequence<ChunkSample>, AbstractModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

updateContext(Sequence<LemmaSample>, AbstractModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

updateContext(Sequence<NameSample>, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream

updateContext(Sequence<POSSample>, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream

updateContext(Sequence<S>, AbstractModel) - Method in interface opennlp.tools.ml.model.SequenceStream

Creates a new event array based on the outcomes predicted by the specified parameters for the specified Sequence.

updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse

Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.

updateParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.

updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure

Updates the score based on the number of true positives and the number of predictions and references.

updateSpan() - Method in class opennlp.tools.parser.Parse

updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified taggerModel for exchange.

URL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

UrlCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A UrlCharSequenceNormalizer implementation that normalizes text in terms of URls and email addresses.

UrlCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer

USA_PHONE_NUM - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME

useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerModel

useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse

Specifies whether function tags should be included as part of the constituent type.

useTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceModel

V

validate() - Method in class opennlp.tools.ml.AbstractEventTrainer

validate() - Method in class opennlp.tools.ml.AbstractTrainer

Checks the configured parameters.

validate() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

validate() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Checks the configured parameters.

validate() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

Checks the configured parameters.

validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory

validateArtifactMap() - Method in class opennlp.tools.doccat.DoccatFactory

validateArtifactMap() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory

validateArtifactMap() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory

validateArtifactMap() - Method in class opennlp.tools.namefind.TokenNameFinderFactory

validateArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory

validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory

validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory

validateArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory

Validates the parsed artifacts.

validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil

Checks if the expectedOutcomes are all contained as outcomes in the given model.

validSequence(int, String[], String[], String) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.BilouNameFinderSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator

validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator

Determines whether a particular continuation of a sequence is valid.

value() - Element in annotation interface opennlp.tools.commons.Internal

valueAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function

Computes the function value for x.

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

Computes the negative log-likelihood.

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood

Computes the function value for x.

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

valueOf(String) - Static method in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.formats.conllu.ConlluTagset

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.ml.model.AbstractModel.ModelType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.parser.ParserType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.postag.POSTagFormat

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.util.DownloadUtil.ModelType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.util.model.ModelType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.util.wordvector.WordVectorType

Returns the enum constant of this class with the specified name.

values - Variable in class opennlp.tools.ml.model.ComparableEvent

values() - Static method in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.formats.conllu.ConlluTagset

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.ml.model.AbstractModel.ModelType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.parser.ParserType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.postag.POSTagFormat

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.util.DownloadUtil.ModelType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.util.model.ModelType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.util.wordvector.WordVectorType

Returns an array containing the constants of this enum class, in the order they are declared.

Version - Class in opennlp.tools.util

The Version class represents the OpenNLP Tools library version.

Version(int, int, int) - Constructor for class opennlp.tools.util.Version

Initializes a Version instance with the provided version elements.

Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version

Initializes a Version instance with the provided version elements.

W

WhitespaceTokenizer - Class in opennlp.tools.tokenize

A basic Tokenizer implementation which performs tokenization using white spaces.

WhitespaceTokenStream - Class in opennlp.tools.tokenize

This stream formats ObjectStream of samples into whitespace separated token strings.

WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream

Initializes a WhitespaceTokenStream.

WindowFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates previous (left-sided) and next (right-sided) features for a given AdaptiveFeatureGenerator.

WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator

Initializes a WindowFeatureGenerator with the given parameters.

WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator

Initializes a WindowFeatureGenerator.

WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator

Initializes a WindowFeatureGenerator.

WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator

Initializes a WindowFeatureGenerator with the given parameters.

WindowFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces WindowFeatureGenerator instances when WindowFeatureGeneratorFactory.create() is called.

WindowFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory

WordClusterDictionary - Class in opennlp.tools.util.featuregen

WordClusterDictionary(InputStream) - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary

Read word2vec and clark clustering style lexicons.

WordClusterDictionary.WordClusterDictionarySerializer - Class in opennlp.tools.util.featuregen

WordClusterDictionarySerializer() - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

WordClusterFeatureGenerator - Class in opennlp.tools.util.featuregen

An AdaptiveFeatureGenerator implementation of a word cluster feature generator.

WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator

Instantiates a WordClusterFeatureGenerator via a specified WordClusterDictionary.

WordClusterFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

Defines a word cluster GeneratorFactory; it reads an element containing 'w2vwordcluster' as a tag name.

WordClusterFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory

WordpieceTokenizer - Class in opennlp.tools.tokenize

A Tokenizer implementation which performs tokenization using word pieces.

WordpieceTokenizer(Set<String>) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer

Initializes a WordpieceTokenizer with a vocabulary and a default maxTokenLength of 50.

WordpieceTokenizer(Set<String>, int) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer

Initializes a WordpieceTokenizer with a vocabulary and a custom maxTokenLength.

WordTagSampleStream - Class in opennlp.tools.postag

A stream filter which reads a sentence per line that contains words and tags in word_tag format and outputs a POSSample objects.

WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream

Initializes a POSSample instance.

WordTagSampleStreamFactory - Class in opennlp.tools.formats

Note: Do not use this class, internal use only!

WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

WordVector - Interface in opennlp.tools.util.wordvector

A word vector.

WordVectorTable - Interface in opennlp.tools.util.wordvector

A table that maps tokens to word vectors.

WordVectorType - Enum Class in opennlp.tools.util.wordvector

writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

Writes a single double to the underlying DataOutputStream.

writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Writes a single double to the underlying DataOutputStream.

writeDouble(double) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a single double to the underlying DataOutputStream.

writeDouble(double) - Method in class opennlp.tools.ml.model.GenericModelWriter

writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

writeDouble(double) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

Writes a single int to the underlying DataOutputStream.

writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Writes a single int to the underlying DataOutputStream.

writeInt(int) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a single int to the underlying DataOutputStream.

writeInt(int) - Method in class opennlp.tools.ml.model.GenericModelWriter

writeInt(int) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

writeInt(int) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

writeInt(int) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Writes the given MaxentModel to the specified OutputStream.

writeReport() - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener

writeReport() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener

writeReport() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener

writeReport() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener

writeReport() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

writeUTF(DataOutputStream, String) - Static method in class opennlp.tools.ml.model.ModelParameterChunker

Writes the model parameter s to dos.

writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter

Writes a String to the underlying DataOutputStream.

writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter

Writes a String to the underlying DataOutputStream.

writeUTF(String) - Method in class opennlp.tools.ml.model.AbstractModelWriter

Writes a String to the underlying DataOutputStream.

writeUTF(String) - Method in class opennlp.tools.ml.model.GenericModelWriter

writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter

writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

writeUTF(String) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

X

X - Enum constant in enum class opennlp.tools.formats.conllu.ConlluTagset

XmlUtil - Class in opennlp.tools.util

XmlUtil() - Constructor for class opennlp.tools.util.XmlUtil

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