A B C D E F G H I J L M N O P Q R S T U V W X Z

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 class for collecting event and context counts used in training.

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

AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml

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

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

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

Initializes the current instance with a sample Iterator.

AbstractEventTrainer - Class in opennlp.tools.ml

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

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

AbstractModel - Class in opennlp.tools.ml.model

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

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

AbstractModelReader - Class in opennlp.tools.ml.model

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

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

AbstractModelWriter - Class in opennlp.tools.ml.model

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

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

AbstractParserEventStream - Class in opennlp.tools.parser

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

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

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

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

Base class for sample stream factories.

AbstractSequenceTrainer - Class in opennlp.tools.ml

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

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

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

Creates a new NameSample stream from a line stream, i.e.

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

ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad

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

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

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.

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

Adds character NGrams to the current instance.

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

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

Adds an outcome and probability to this sequence.

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

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 to this set of feature generators.

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

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.LogProbability

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.Probabilities

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.

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 map.

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

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

Utility method to inserts 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 probability log 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(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream

Creates a new NameSample stream from a line stream, i.e.

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

Deprecated.

ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad

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

ADPOSSampleStream - Class in opennlp.tools.formats.ad

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

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

Creates a new POSSample stream from a line stream, i.e.

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

Creates a new POSSample stream from a InputStream

ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad

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

ADSentenceSampleStream - Class in opennlp.tools.formats.ad

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

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

Creates a new SentenceSample stream from a line stream, i.e.

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

Creates a new SentenceSample stream from a FileInputStream

ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad

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

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 - 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!

AggregateCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

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

AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

Initializes the current instance.

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

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

Retrieves the training algorithm name for a given name space.

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

Retrieves the training algorithm name.

ALGORITHM_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer

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

alphaNumeric - Static variable in class opennlp.tools.tokenize.TokenizerME

Deprecated.

As of release 1.5.2, replaced by Factory.getAlphanumeric(String)

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

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

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 the model are compatible with the codec.

ArrayMath - Class in opennlp.tools.ml.maxent.quasinewton

Utility class for simple vector arithmetic.

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

ArtifactToSerializerMapper - Interface in opennlp.tools.util.featuregen

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

Gets this dictionary as a Set<String>.

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

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

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

AttributeAnnotation - Class in opennlp.tools.formats.brat

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

BaseLink - Class in opennlp.tools.entitylinker

Stores a minimal tuple of information.

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

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

BaseModel - Class in opennlp.tools.util.model

This model is a common based which can be used by the components model classes.

BaseToolFactory - Class in opennlp.tools.util

Base class for all tool factories.

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

All sub-classes should have an empty constructor

BasicContextGenerator - Class in opennlp.tools.ml.maxent

Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.

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

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

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

BeamSearch<T> - Class in opennlp.tools.ml

Performs k-best search over sequence.

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

Creates new search object.

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

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

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

Returns the best sequence of outcomes based on model for this object.

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

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

Finds the n most probable sequences.

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

Finds the n most probable sequences.

BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

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

BilouCodec - Class in opennlp.tools.namefind

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

BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind

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

BinaryFileDataReader - Class in opennlp.tools.ml.model

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

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

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

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

A reader for GIS models stored in binary format.

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

Constructor which directly instantiates the DataInputStream containing the model contents.

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

Model writer that saves models in binary format.

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

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

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

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

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

Constructor which directly instantiates the DataInputStream containing the model contents.

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

Constructor which takes a File and creates a reader for it.

BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

Model writer that saves models in binary format.

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

Constructor which takes a NaiveBayesModel and a File and prepares itself to write the model to that file.

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

Constructor which takes a NaiveBayesModel and a DataOutputStream and prepares itself to write the model to that stream.

BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron

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

Constructor which directly instantiates the DataInputStream containing the model contents.

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

Constructor which takes a File and creates a reader for it.

BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron

Model writer that saves models in binary format.

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

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

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

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

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

A reader for quasi-newton models stored in binary format.

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

Constructor which directly instantiates the DataInputStream containing the model contents.

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

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

Constructor which takes a GISModel and a File and prepares itself to write the model to that file.

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

Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.

BioCodec - Class in opennlp.tools.namefind

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

BioNLP2004NameSampleStream - Class in opennlp.tools.formats

Parser for the training files of the BioNLP/NLPBA 2004 shared task.

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

BioNLP2004NameSampleStreamFactory - Class 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

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

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

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

BratNameSampleStreamFactory - Class 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

Creates a new Brown Cluster bigram feature generator.

BrownCluster - Class in opennlp.tools.util.featuregen

Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize.com/projects/wordreprs/ The file containing the clustering lexicon has to be passed as the value of the dict attribute of each BrownCluster feature generator.

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

Generates the token to cluster map from Brown cluster input file.

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

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

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 Brown cluster features for current token and token class.

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

BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates Brown cluster features for current token.

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

BuildContextGenerator - Class in opennlp.tools.parser.chunking

Class to generator predictive contexts for deciding how constituents should be combined together.

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

Creates a new context generator for making decisions about combining constitients togehter.

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

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.treeinsert.BuildContextGenerator

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.

buildDictionary(ObjectStream<Parse>, HeadRules, int) - 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.

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

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

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 AdaptiveFeatureGenerators.

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

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

calculateHashSum() - Method in class opennlp.tools.ml.model.HashSumEventStream

Calculates the hash sum of the stream.

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(StringList) - Method in interface opennlp.tools.languagemodel.LanguageModel

Calculate the probability of a series of tokens (e.g.

calculateProbability(StringList) - 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

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

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

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

Categorizes the given text, provided in separate tokens.

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

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

Categorizes the given text.

CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

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

Initializes the current instance with min 2 length and max 5 length of ngrams.

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

CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer

CheckContextGenerator - Class in opennlp.tools.parser.chunking

Class for generating predictive context for deciding when a constituent is complete.

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

Creates a new context generator for generating predictive context for deciding when a constituent is complete.

CheckContextGenerator - Class in opennlp.tools.parser.treeinsert

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

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

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

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

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

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

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

ChunkContextGenerator - Class in opennlp.tools.parser

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

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

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

Chunker - Interface in opennlp.tools.chunker

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

ChunkerContextGenerator - Interface in opennlp.tools.chunker

Interface for the context generator used in syntactic chunking.

ChunkerCrossValidator - Class in opennlp.tools.chunker

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

ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker

ChunkerEvaluator - Class in opennlp.tools.chunker

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

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

Initializes the current instance with the given Chunker.

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

Initializes the current instance with the specified model.

ChunkerModel - Class in opennlp.tools.chunker

The ChunkerModel is the model used by a learnable Chunker.

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

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

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

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

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

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

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

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

ChunkerModelSerializer - Class in opennlp.tools.util.model

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

ChunkerSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP ChunkSampleStreams.

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 the current instance.

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

Initializes the current instance.

ChunkSampleSequenceStream - Class in opennlp.tools.chunker

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

ChunkSampleStream - Class in opennlp.tools.chunker

Parses the conll 2000 shared task shallow parser training data.

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

Initializes the current instance.

ChunkSampleStream - Class in opennlp.tools.parser

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

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 for a name finder that the context of the adaptive data (typically a document) is no longer valid.

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

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

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

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 the 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 AdaptiveFeatureGenerators.

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

Clears the previous map.

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

Clears the previous map.

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.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.NameFinderCensus90NameStream

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

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

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

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

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

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.postag.POSSampleSequenceStream

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 has any effect 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

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

ComparableEvent(int, int[]) - 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 tokens list and ignores the case of the tokens.

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

Outcome used when a constituent is complete.

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

Returns whether this parse 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 ObjectStreams with the same type.

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

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

ConfigurablePOSContextGenerator - Class in opennlp.tools.postag

A context generator for the POS Tagger.

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

Initializes the current instance.

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

Initializes the current 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, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream

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

Conll02NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats

Conll02NameSampleStreamFactory - Class in opennlp.tools.formats

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

Conll03NameSampleStream - Class in opennlp.tools.formats

An import stream which can parse the CONLL03 data.

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

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

Conll03NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats

Conll03NameSampleStreamFactory - Class 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

ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu

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

ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu

ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu

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

ConlluSentence - Class in opennlp.tools.formats.conllu

ConlluSentenceSampleStream - Class in opennlp.tools.formats.conllu

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

ConlluSentenceSampleStreamFactory - Class in opennlp.tools.formats.conllu

ConlluStream - Class in opennlp.tools.formats.conllu

The CoNNL-U Format is specified here: http://universaldependencies.org/format.html

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

ConlluTagset - Enum in opennlp.tools.formats.conllu

ConlluTokenSampleStream - Class in opennlp.tools.formats.conllu

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

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

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

ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats

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

ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats

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

ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats

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

Cons - Class in opennlp.tools.parser

Class to hold 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

Constituent - Class in opennlp.tools.parser

Class used to hold constituents when reading parses.

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

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

Retrieve a model from disk.

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

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

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

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

Retrieve a model from disk.

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

Retrieve a model from disk.

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

Prefix for outcomes continuing a constituent.

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

Checks if this dictionary has the given entry.

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

Checks if at leat one StringList contains the given token.

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

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

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

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

Returns true if the specified span is contained by this span.

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

Returns true if the specified index is contained inside this span.

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 - 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

Generate 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

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

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

Retrieves the number of times a value was added to the mean.

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

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

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.LeipzigDocumentSampleStreamFactory

Deprecated.

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.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.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.WordTagSampleStreamFactory

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

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

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

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

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

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

Creates a new POSDictionary from a provided InputStream.

create(String, Dictionary, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory

Deprecated.

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

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

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

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

Factory method the framework uses create a new TokenizerFactory.

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

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

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

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

Creates an AdaptiveFeatureGenerator from an provided XML descriptor.

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

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

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

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

Creates a Map with pairs of keys and objects.

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

Create the artifact 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

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

Creates the default training parameters in case they are not provided.

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

createEndOfSentenceScanner(char[]) - 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 previous outcomes 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 AdaptiveFeatureGenerators.

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

Creates the manifest entries that will be added to the model manifest

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

Creates an ObjectStream form an array.

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

Creates an ObjectStream form a collection.

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

Create a new SAXParser which processes XML securely.

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

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

createSentenceContextGenerator(String) - 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

Creates a sequence validator which can validate a sequence of outcomes.

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

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

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

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

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

Initializes the current instance.

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

Initializes the current instance.

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

The TrainingSampleStream which iterates over all training elements.

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

Retrieves the current version of the OpenNlp Tools library.

CustomFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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 - Static variable in class opennlp.tools.ml.AbstractTrainer

CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

CUTOFF_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer

CUTOFF_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer

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

D

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

Object which compresses events in memory and performs feature selection.

DataIndexerFactory - Class in opennlp.tools.ml.model

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

DataReader - Interface in opennlp.tools.ml.model

DataStream - Interface in opennlp.tools.ml.maxent

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

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 T 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

Read predicted SES by the lemmatizer model and apply 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

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

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

The a 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

Creates the default context generator a chunker.

DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker

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

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

DefaultNameContextGenerator - Class in opennlp.tools.namefind

Class for determining contextual features for a tag/chunk style named-entity recognizer.

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

Deprecated.

use the other constructor and always provide the feature generators

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

Creates a name context generator with the specified cache size.

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

DefaultPOSContextGenerator - Class in opennlp.tools.postag

A context generator for the POS Tagger.

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

Initializes the current instance.

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

Initializes the current instance.

DefaultPOSSequenceValidator - Class in opennlp.tools.postag

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 SDContextGenerator 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

Generate events for maxent decisions for tokenization.

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

Creates a default context generator for tokenizer.

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

Creates a default context generator for tokenizer.

DetokenizationDictionary - Class in opennlp.tools.tokenize

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

Initializes the current instance.

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

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

DetokenizationDictionary.Operation - Enum in opennlp.tools.tokenize

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

Detokenize the input tokens.

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

Detokenize the input tokens into a String.

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

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

Detokenizer - Interface in opennlp.tools.tokenize

A Detokenizer merges tokens back to their untokenized representation.

Detokenizer.DetokenizationOperation - Enum in opennlp.tools.tokenize

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

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

Base class for factories which need detokenizer.

DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt

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

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

Dictionary - Class in opennlp.tools.dictionary

This class is a dictionary.

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

Initializes an empty Dictionary.

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

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

Initializes the Dictionary from an existing dictionary resource.

DictionaryDetokenizer - Class in opennlp.tools.tokenize

A rule based detokenizer.

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

DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer

This class is 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 the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.

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

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

DictionaryLemmatizer - Class in opennlp.tools.lemmatizer

Lemmatize by simple dictionary lookup into a hashmap built from a file containing, for each line, word\tabpostag\tablemma.

DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

Construct a hashmap from the input tab separated dictionary.

DictionaryLemmatizer(File) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

DictionaryLemmatizer(Path) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer

DictionaryNameFinder - Class in opennlp.tools.namefind

This is a dictionary based name finder, it scans text for names inside a dictionary.

DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder

Initialized the current instance with he provided dictionary and a type.

DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder

Initializes the current instance with the provided dictionary.

DictionarySerializer - Class in opennlp.tools.util.model

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

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

Retrieves the number of digits.

DirectorySampleStream - Class in opennlp.tools.formats

The directory sample stream allows for creating a stream from a directory listing of files.

DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream

Creates a new directory sample stream.

DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream

Creates a new directory sample stream.

discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

DoccatCrossValidator - Class in opennlp.tools.doccat

Cross validator for document categorization

DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator

Creates a DoccatCrossValidator with the given FeatureGenerators.

DoccatEvaluationMonitor - Interface in opennlp.tools.doccat

EvaluationMonitor for doccat.

DoccatFactory - Class in opennlp.tools.doccat

The factory that provides Doccat default implementations and resources

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

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

DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory

DoccatModel - Class in opennlp.tools.doccat

A model for document categorization

DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel

DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel

DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel

DoccatModel(Path) - Constructor for class opennlp.tools.doccat.DoccatModel

DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel

doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch

Constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al.

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

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

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 DocumentSamples.

DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator

Initializes the current instance.

DocumentCategorizerEventStream - Class in opennlp.tools.doccat

Iterator-like class for modeling document classification events.

DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream

Initializes the current instance via samples and feature generators.

DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream

Initializes the current instance.

DocumentCategorizerME - Class in opennlp.tools.doccat

Maxent implementation of DocumentCategorizer.

DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME

Initializes the current instance with a doccat model.

DocumentNameFinder - Interface in opennlp.tools.namefind

Name finding interface which processes an entire document allowing the name finder 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

DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample

DocumentSampleStream - Class in opennlp.tools.doccat

This class reads in string encoded training samples, parses them and outputs DocumentSample objects.

DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream

DocumentSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP DocumentSampleStreams.

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

doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch

Backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p.

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

Outcome used when a constituent needs an no additional parent node/building.

doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer

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) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME

Removes spans with are intersecting or crossing in anyway.

DynamicEvalParameters - Class in opennlp.tools.ml.model

DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters

Creates a set of paramters which can be evaulated with the eval method.

E

EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer

EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect

Stream to 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

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 T objects.

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

END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream

endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler

endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler

endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler

EndOfSentenceScanner - Interface in opennlp.tools.sentdetect

Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters.

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

EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker

EntityLinkers establish connections to external data to enrich extracted entities.

EntityLinkerFactory - Class in opennlp.tools.entitylinker

Generates an EntityLinker implementation via properties file configuration

EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory

EntityLinkerProperties - Class in opennlp.tools.entitylinker

Properties wrapper for the EntityLinker framework

EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties

Constructor takes location of properties file as arg

EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties

Entry - Class in opennlp.tools.dictionary.serializer

An Entry is a StringList which can optionally be mapped to attributes.

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

Initializes the current instance.

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 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 class opennlp.tools.langdetect.Language

equals(Object) - Method in class opennlp.tools.langdetect.LanguageSample

equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample

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.namefind.NameSample

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.postag.POSDictionary

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.irishStemmer

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

Checks if the specified span is equal to the current span.

equals(Object) - Method in class opennlp.tools.util.StringList

equals(Object) - Method in class opennlp.tools.util.TokenTag

equals(Object) - Method in class opennlp.tools.util.Version

eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.

eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel

eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel

Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.

eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel

eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a context.

eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a context.

eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Evaluates a contexts with the specified context values.

eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel

eval(int[], double[], EvalParameters) - Static 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, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream

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

EvalitaNameSampleStream.LANGUAGE - Enum in opennlp.tools.formats

EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats

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

EvalParameters - Class in opennlp.tools.ml.model

This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.

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

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(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator

Measure quality of the training parameters

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

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 from the stream and evaluates each sample object with 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

The Evaluator is an abstract base class for evaluators.

Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator

Event - Class in opennlp.tools.ml.model

The context of a decision point during training.

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

Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event

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 - Interface in opennlp.tools.ml

EventTraceStream - Class in opennlp.tools.util

EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream

EventTrainer - Interface in opennlp.tools.ml

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

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

Extract features from given text fragments

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

Extract ngram features from given text fragments

extractTags(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag

extractTokens(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag

F

Factory - Class in opennlp.tools.sentdetect.lang

Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory

Factory - Class in opennlp.tools.tokenize.lang

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 provided 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(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream

Creates a new file event stream from the specified file name.

FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream

FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream

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

Creates a new file event stream from the specified file.

FileToByteArraySampleStream - Class in opennlp.tools.formats.convert

FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.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

Creates a new file-to-string sample stream.

FilterObjectStream<S,T> - Class in opennlp.tools.util

Abstract base class for filtering ObjectStreams.

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.

find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder

find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder

Returns tokens span for the specified document of sentences and their tokens.

find(String[]) - Method in class opennlp.tools.namefind.NameFinderME

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[]) - Method in class opennlp.tools.namefind.RegexNameFinder

find(String) - Method in class opennlp.tools.namefind.RegexNameFinder

NEW.

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.

fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse

FMeasure - Class in opennlp.tools.util.eval

The FMeasure is an utility class for evaluators which measure precision, recall and the resulting f-measure.

FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure

Function - Interface in opennlp.tools.ml.maxent.quasinewton

Interface for a function

G

GapLabeler - Interface in opennlp.tools.parser

Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.

generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator

Creates an ngram separated by the separator param value i.e.

generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator

Generates an nGram based on a char[] input

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[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream

generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream

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.

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

GenericModelReader - Class in opennlp.tools.ml.model

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

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

GenericModelSerializer - Class in opennlp.tools.util.model

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

GenericModelWriter - Class in opennlp.tools.ml.model

GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter

get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Returns the probability associated with a label

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

Returns the probability associated with a label

get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the probability associated with a label

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

Returns the probability associated with a label

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

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

Gets the abbreviation dictionary

getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel

getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel

getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Retrieves the accuracy of provided DocumentCategorizer.

getAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

Retrieves the accuracy of provided DocumentCategorizer.

getAddictionalContext() - Method in class opennlp.tools.postag.POSSample

getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample

getAddtionalData() - Method in class opennlp.tools.util.TokenTag

getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer

getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Returns the probabilities associated with all labels

getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the probabilities associated with all labels

getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel

Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.

getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel

Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.

getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME

Retrieves an array of all possible part-of-speech tags from the tagger.

getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

get the name of the category associated with the given probabilties

getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory

Gets the alpha numeric pattern for the language.

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

Gets the alpha numeric pattern.

getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument

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

Gets an artifact by name

getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel

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

Gets the Serializer Class for 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 interface opennlp.tools.util.featuregen.ArtifactToSerializerMapper

getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation

getAttachModel() - Method in class opennlp.tools.parser.ParserModel

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

Retrieves the Attributes.

getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

get 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

Simple function to return the outcome associated with the index containing the highest probability in the double[].

getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

get a Boolean parameter

getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

get a Boolean parameter in the specified namespace

getBuildModel() - Method in class opennlp.tools.parser.ParserModel

getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer

get the category at a given index

getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME

getCategory() - Method in class opennlp.tools.doccat.DocumentSample

getCheckModel() - Method in class opennlp.tools.parser.ParserModel

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

Returns the number of children for this parse node.

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

Returns the child constituents of this constituent .

getChunkerModel() - Method in class opennlp.tools.chunker.ChunkerModel

Deprecated.

use getChunkerSequenceModel instead. This method will be removed soon.

getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel

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

Returns the best confidence with which this set of probabilities has been calculated.

getConfig() - Method in class opennlp.tools.formats.brat.BratDocument

getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator

Returns the contexts for chunking of the specified index.

getContext(int, String[], String[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator

getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator

getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator

getContext(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator

Generates the context for a document using character ngrams.

getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator

getContext() - Method in class opennlp.tools.langdetect.LanguageSample

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator

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(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator

Builds up the list of contextual predicates given a String.

getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator

Builds up the list of contextual predicates given an Object.

getContext() - Method in class opennlp.tools.ml.model.Event

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

Return the context for finding names at the specified index.

getContext(Object) - Method in class opennlp.tools.parser.ChunkContextGenerator

Deprecated.

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator

Deprecated.

getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator

getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator

getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator

Returns the predictive context used to determine how constituent at the specified index should be combined with other contisuents.

getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator

getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator

Returns 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(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator

getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator

getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator

getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator

Returns the contexts/features for the decision to build a new constituent for the specified parse at the specified index.

getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator

getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator

Returns the context for making a pos tag 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

getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator

Returns the context for making a pos tag 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

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(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator

getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator

Returns an array of features for the specified sentence string at the specified index.

getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator

Returns the context for the specified position in the specified sequence (list).

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

Gets the context generator

getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns the array of predicates seen in each event.

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

Retrieves the string covered by the current span of the specified text.

getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer

getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer

getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory

getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel

Provides the fundamental data structures which encode the maxent model information.

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

Returns a RegexNamefinder that will utilize specified default regexes.

getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Universal dependency relation to the HEAD (root iff HEAD = 0) or a defined language-specific subtype of one.

getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Enhanced dependency graph in the form of a list of head-deprel pairs.

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

Returns the derivation string for this parse if one has been created.

getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory

Provides a list with all the elements in the xml feature descriptor.

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

Deprecated.

this will be reduced in visibility and later removed

getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

Get the Map containing the dictionary.

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

Retrieves the document.

getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator

Retrieves the accuracy for all iterations.

getDocumentAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Retrieves the accuracy for all iterations.

getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator

Retrieves the number of words which where validated over all iterations.

getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Retrieves the number of words which where validated over all iterations.

getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters

get a Double parameter

getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

get a Double parameter 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

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

Return the end of a span.

getEndOfSentenceCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getEndOfSentenceCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

Returns an array of character which can indicate the end of a sentence.

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

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

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

getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel

getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

getEvents() - Method in class opennlp.tools.ml.model.Sequence

Returns the events which make up this sequence.

getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation

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

Retrieve list of morphological features from the universal feature inventory or from a defined language-specific extension; underscore if not available.

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

getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex

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

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

It returns the fmeasure result.

getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator

getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator

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

Retrieves the f-measure score.

getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Retrieve the word form or punctuation symbol.

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 AdaptiveFeatureGenerators.

getGradAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getHead() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Head of the current word, which is either a value of ID or zero (0).

getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules

Returns the head constituent for the specified constituents of the specified 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

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

Returns the head constituent associated with this constituent.

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

Returns the index within a sentence of the head token for this parse.

getHeadRules() - Method in class opennlp.tools.parser.ParserModel

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

Retrieves the word index.

getId() - Method in class opennlp.tools.namefind.NameSample

getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer

get 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

Gets the index associated with the String name of the given outcome.

getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel

Gets 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.

getInitialObject(double, double[], double[], double[], double[], int) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

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

getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters

get an Integer parameter

getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

get an Integer parameter in the specified namespace

getItemID() - Method in class opennlp.tools.entitylinker.BaseLink

returns the itemid

getItemName() - Method in class opennlp.tools.entitylinker.BaseLink

returns the name

getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink

Any parent ID for the linked item

getItemType() - Method in class opennlp.tools.entitylinker.BaseLink

returns the type

getIterations() - Method in class opennlp.tools.ml.AbstractTrainer

getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the probabilities associated with all labels

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

Returns the probabilities associated with all labels

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

Returns the probabilities associated with all labels

getLabel() - Method in class opennlp.tools.parser.Constituent

Returns the label of the constituent.

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

Returns the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.

getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory

getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory

getLang() - Method in class opennlp.tools.langdetect.Language

getLanguage() - Method in class opennlp.tools.langdetect.LanguageSample

getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider

Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.

getLanguage() - Method in class opennlp.tools.util.model.BaseModel

Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.

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

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

Retrieves the language code.

getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Retrieve the lemma or stem of the word form.

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

Returns the n best linked entries from an external data source.

getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory

getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory

getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Returns the log probability associated with a label

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

Returns the log probability associated with a label

getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the log probability associated with a label

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

Returns the log probability associated with a label

getMajor() - Method in class opennlp.tools.util.Version

Retrieves the major version.

getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider

Retrieves the value to the given key from the manifest.properties entry.

getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel

Retrieves the value to the given key from the manifest.properties entry.

getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Returns the most likely label

getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the most likely label

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

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

getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities

Returns the probability of the most likely label

getMetadata() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

getMinor() - Method in class opennlp.tools.util.Version

Retrieves the minor version.

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

getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Retrieve any other annotation.

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

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

getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel

getNames() - Method in class opennlp.tools.namefind.NameSample

getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

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

Returns the set of punctuation parses that occur immediately after this parse.

getNgramDictionary() - Method in class opennlp.tools.postag.POSModel

Retrieves the ngram dictionary.

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

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

Retrieves the number of times a cache hit occurred.

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

Retrieves the number of times a cache miss occurred.

getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer

get 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

Returns the number of total events indexed.

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

Returns the number of outcomes for this model.

getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns an array indicating the number of times a particular event was seen.

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

Retrieves a map with the training parameters which have the passed name space.

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

Retrieves all parameters without a name space.

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

Return the name of an outcome corresponding to an int id.

getOutcome() - Method in class opennlp.tools.ml.model.Event

getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel

Gets the String name of the outcome associated with the index i.

getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns an array of outcome names.

getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns an array indicating the outcome index for each event.

getOutcomes() - Method in class opennlp.tools.ml.BeamSearch

getOutcomes() - Method in class opennlp.tools.ml.model.Context

Returns the outcomes for which parameters exists for this context.

getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel

Returns all possible outcomes.

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

Returns a list of outcomes for this sequence.

getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory

getParameters() - Method in class opennlp.tools.ml.model.Context

Returns the parameters or expected values for the outcomes which occur with this context.

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

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

Returns the parent parse node of this constituent.

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

Gets the phrases as an array of spans

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

getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory

getPositions(String) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner

getPositions(String) - 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 interface opennlp.tools.sentdetect.EndOfSentenceScanner

The receiver scans `buf' for sentence ending characters and returns their offsets.

getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner

The receiver scans `cbuf' for sentence ending characters and returns their offsets.

getPosModel() - Method in class opennlp.tools.postag.POSModel

Deprecated.

use getPosSequenceModel instead. This method will be removed soon. Only required for Parser 1.5.x backward compatibility. Newer models don't need this anymore.

getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel

getPosTag(ConlluTagset) - Method in class opennlp.tools.formats.conllu.ConlluWordLine

Retrieve the Universal part-of-speech tag or the language-specific part-of-speech tag; underscore if not available.

getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure

Retrieves the arithmetic mean of the precision scores calculated for each evaluated sample.

getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns an array of the count of each predicate in the events.

getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer

getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer

Returns an array of predicate/context names.

getPreds() - Method in class opennlp.tools.chunker.ChunkSample

Gets the Chunk tags in B-* I-* notation

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

Returns the set of punctuation parses that occur immediately before this parse.

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

Returns the log of the product of the probability associated with all the decisions which formed this constituent.

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

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

Returns an array of probabilities associated with the outcomes of this sequence.

getProbs(double[]) - Method in class opennlp.tools.util.Sequence

Populates an array with the probabilities associated with the outcomes of this sequence.

getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties

Gets a property from the props file.

getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules

Returns the set of punctuation tags.

getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules

getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure

Retrieves the arithmetic mean of the recall score calculated for each evaluated sample.

getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble

getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider

Retrieves the resource object for the given name/identifier.

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

Retrieves the revision version.

getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser

Returns the right frontier of the specified parse tree with nodes ordered from deepest to shallowest.

getRoot() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

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

Returns the score of this 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

Returns the search term that was used to link this span to an external data source

getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

getSentence() - Method in class opennlp.tools.chunker.ChunkSample

Gets the training sentence

getSentence() - Method in class opennlp.tools.namefind.NameSample

getSentence() - Method in class opennlp.tools.postag.POSSample

getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan

Returns the id or index of the sentence from which this span was extracted

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 sentDetect().

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

Retrieves the sentences.

getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel

getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory

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

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

Deprecated.

use TrainingParameters.getObjectSettings(String) instead

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

Deprecated.

use TrainingParameters.getObjectSettings() instead

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

Get the SES required to go from a word to a lemma.

getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

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

getSource() - Method in class opennlp.tools.ml.model.Sequence

Returns an object from which this sequence can be derived.

getSpan() - Method in class opennlp.tools.formats.brat.SpanAnnotation

getSpan() - Method in class opennlp.tools.parser.Constituent

Returns the span of the constituent.

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

Returns the character offsets for this constituent.

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

Return the start of a span.

getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

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

get a String parameter

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

get a String parameter in the specified namespace

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

getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector

getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME

getSurface() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex

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

getTag() - Method in class opennlp.tools.util.TokenTag

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

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

Returns the parse nodes which are children of this node and which are pos tags.

getTags() - Method in class opennlp.tools.chunker.ChunkSample

Gets the POS Tags for the sentence

getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample

getTags(String) - Method in class opennlp.tools.postag.POSDictionary

Returns a list of valid tags for the specified word.

getTags() - Method in class opennlp.tools.postag.POSSample

getTags(String) - Method in interface opennlp.tools.postag.TagDictionary

Returns a list of valid tags for the specified word.

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

Returns the probability associated with the pos-tag sequence assigned to this parse.

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

Retrieves the ObjectStream over the test/evaluations elements and poisons this TrainingSampleStream.

getText() - Method in class opennlp.tools.doccat.DocumentSample

getText() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

getText() - Method in class opennlp.tools.formats.brat.BratDocument

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

Returns the text of the sentence over which this parse was formed.

getText() - Method in class opennlp.tools.tokenize.TokenSample

Retrieves the text.

getTextComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence

getToken(int) - Method in class opennlp.tools.util.StringList

Retrieves a token from the given index.

getToken() - Method in class opennlp.tools.util.TokenTag

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

getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME

Returns the probabilities associated with the most recent calls to AbstractTokenizer.tokenize(String) or TokenizerME.tokenizePos(String).

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

Retrieves the tokens.

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

Retrieves the token spans.

getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory

Determines the trainer type based on the ALGORITHM_PARAM value.

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

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

Returns the constituent label for this node of the parse.

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

Retrieves the type of the span.

getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration

getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes

Retrieves the value for the given key or null if attribute it not set.

getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation

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

Returns the values associated with each event context or null if integer values are to be used.

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

Retrieves the OpenNLP version which was used to create the model.

getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

Retrieves the word accuracy.

getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator

Retrieves the word accuracy.

getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator

Retrieves the accuracy for all iterations.

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

Retrieves the total number of words considered in the evaluation.

getWordCount() - Method in class opennlp.tools.postag.POSEvaluator

Retrieves the total number of words considered in the evaluation.

getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator

Retrieves the number of words which where validated over all iterations.

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 procedure (implemented in GIS.java).

GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel

Creates a new model with the specified parameters, outcome names, and predicate/feature labels.

GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel

Creates a new model with the specified parameters, outcome names, and predicate/feature labels.

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

Abstract parent class for readers of GISModels.

GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader

GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader

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

Abstract parent class for GISModel writers.

GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter

GISTrainer - Class in opennlp.tools.ml.maxent

An implementation of Generalized Iterative Scaling.

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

Creates a new GISTrainer instance which does not print progress messages about training to STDOUT.

gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

Compute gradient

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood

Compute gradient

gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample

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

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 class opennlp.tools.langdetect.Language

hashCode() - Method in class opennlp.tools.langdetect.LanguageSample

hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample

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.namefind.NameSample

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.postag.POSDictionary

hashCode() - Method in class opennlp.tools.postag.POSSample

hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample

hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer

hashCode() - Method in class opennlp.tools.tokenize.TokenSample

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

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

Generates a hash code of the current span.

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

hashCode() - Method in class opennlp.tools.util.TokenTag

hashCode() - Method in class opennlp.tools.util.Version

HashSumEventStream - Class in opennlp.tools.ml.model

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

hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream

Test whether there are any Events remaining in this EventStream.

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

HeadRules - Interface in opennlp.tools.parser

Interface for encoding the head rules associated with parsing.

HeadRules - Class in opennlp.tools.parser.lang.en

Class for storing the English head rules associated with parsing.

HeadRules(String) - Constructor for class opennlp.tools.parser.lang.en.HeadRules

Deprecated.

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

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys

Property key for the unique id which identifies an OSGi 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.

Index - Class in opennlp.tools.dictionary

This classes indexes StringLists.

Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index

Initializes the current instance with the given StringList Iterator.

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

index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer

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

Returns the index of this specified child.

init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker

allows for passing properties through the EntityLinkerFactory into all impls dynamically.

init() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer

init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer

Deprecated.

init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer

Deprecated.

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer

init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer

Deprecated.

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Deprecated.

init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer

Sets parameters used during the data indexing.

init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer

Deprecated.

init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer

init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.CustomFeatureGenerator

Initialized the Custom Feature Generator with defined properties and loaded resources.

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

innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

InputStreamFactory - Interface in opennlp.tools.util

Allows repeated reads through a stream for certain types of model building.

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.This method assumes that the specified constituent can be inserted into this parse.

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 the current instance.

INSTANCE - Static variable in class opennlp.tools.tokenize.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 an user provided extension to OpenNLP.

instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory

InsufficientTrainingDataException - Exception in opennlp.tools.util

This exception indicates that the provided training data is insufficient to train the desired model.

InsufficientTrainingDataException() - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException

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

Returns true 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() - Constructor for exception opennlp.tools.util.InvalidFormatException

InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException

InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException

InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException

invL2norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

Inverse L2-norm

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

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

IrishSentenceBankTokenSampleStreamFactory - Class in opennlp.tools.formats.irishsentencebank

irishStemmer - Class in opennlp.tools.stemmer.snowball

This class was automatically generated by a Snowball to Java compiler It 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

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

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

isCaseSensitive() - Method in interface opennlp.tools.postag.MutableTagDictionary

Whether if the dictionary is case sensitive or not

isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary

isChunk(boolean) - Method in class opennlp.tools.parser.Parse

isChunk() - 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

Returns true if CharSequence.length() is 0 or null.

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

Returns true if this constituent contains no sub-constituents.

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

isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Checks if a probability is greater than the old one.

isLarger(Probability) - 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 serialized.

isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel

isOSGiEnvironment() - Method in exception opennlp.tools.util.ext.ExtensionNotLoadedException

Indicates if OpenNLP is running in an OSGi environment or not.

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

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

Gets whether to use alphanumeric optimization.

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

isValid() - Method in class opennlp.tools.ml.AbstractEventTrainer

Deprecated.

isValid() - Method in class opennlp.tools.ml.AbstractTrainer

Deprecated.

Use AbstractTrainer.validate() instead.

isValid() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

Deprecated.

isValid() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Deprecated.

isValid() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

Deprecated.

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.

ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer

ITERATIONS_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer

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

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

Retrieves an Iterator over all tokens.

iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes

Iterates over the keys.

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

Retrieves an Iterator over all tokens.

J

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

L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

L1COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

l1norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

L1-norm

L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

L2COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

l2norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

L2-norm

L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler

Labels the 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 - 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 provide the @Language according to the context.

LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect

A context generator interface for language detector.

LanguageDetectorCrossValidator - Class in opennlp.tools.langdetect

Cross validator for language detector

LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Creates a LanguageDetectorCrossValidator with the given FeatureGenerators.

LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect

EvaluationMonitor for Language Detector.

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 the current instance.

LanguageDetectorEventStream - Class in opennlp.tools.langdetect

Iterator-like class for modeling language detector events.

LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEventStream

Initializes the current instance via samples and feature generators.

LanguageDetectorFactory - Class in opennlp.tools.langdetect

Default factory used by Language Detector.

LanguageDetectorFactory() - Constructor for class opennlp.tools.langdetect.LanguageDetectorFactory

LanguageDetectorME - Class in opennlp.tools.langdetect

Implements learnable Language Detector

LanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.LanguageDetectorME

Initializes the current instance with a language detector model.

LanguageDetectorModel - Class in opennlp.tools.langdetect

A model for language detection

LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

LanguageDetectorModel(InputStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

LanguageDetectorModel(File) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

LanguageDetectorModel(URL) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

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

LanguageDetectorSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP DocumentSampleStreams.

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.

LanguageSample - Class in opennlp.tools.langdetect

Class which holds a classified document and its @Language.

LanguageSample(Language, CharSequence) - Constructor for class opennlp.tools.langdetect.LanguageSample

LanguageSampleStreamFactory<T> - 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

LeipzigDoccatSampleStream - Class in opennlp.tools.formats

Deprecated.

will be removed, use the language detector instead

LeipzigDoccatSampleStream(String, int, Tokenizer, InputStreamFactory) - Constructor for class opennlp.tools.formats.LeipzigDoccatSampleStream

Deprecated.

Creates a new LeipzigDoccatSampleStream with the specified parameters.

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

Deprecated.

Creates a new LeipzigDoccatSampleStream with the specified parameters.

LeipzigDocumentSampleStreamFactory - Class in opennlp.tools.formats

Deprecated.

will be removed, use the language detector instead

LeipzigLanguageSampleStream - Class in opennlp.tools.formats.leipzig

LeipzigLanguageSampleStream(File, int, int) - Constructor for class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream

LeipzigLanguageSampleStreamFactory - Class in opennlp.tools.formats.leipzig

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

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

LemmaSample - Class in opennlp.tools.lemmatizer

Represents an lemmatized sentence.

LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample

Represents one lemma sample.

LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample

Lemma Sample constructor.

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 the specified context generator.

LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer

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

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

lemmatize(List<String>, List<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 returning the result in an array.

lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer

Generates a lemma tags for the word and postag returning the result in a list of every possible lemma for each token and postag.

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Lemmatizer - Interface in opennlp.tools.lemmatizer

The interface for lemmatizers.

LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer

Interface for the context generator used for probabilistic lemmatizer.

LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer

Interface for the lemmatizer evaluator.

LemmatizerEvaluator - Class in opennlp.tools.lemmatizer

The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference LemmaSamples.

LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator

Initializes the current instance.

LemmatizerFactory - Class in opennlp.tools.lemmatizer

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

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

LemmatizerME - Class in opennlp.tools.lemmatizer

A probabilistic lemmatizer.

LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME

Initializes the current instance with the provided model and the default beam size of 3.

LemmatizerModel - Class in opennlp.tools.lemmatizer

The LemmatizerModel is the model used by a learnable Lemmatizer.

LemmatizerModel(String, SequenceClassificationModel<String>, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(Path) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

LemmatizerSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP LemmaSampleStreams.

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

Returns the length of this span.

LetsmtDocument - Class in opennlp.tools.formats.letsmt

A structure to hold the letsmt document.

LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt

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

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

Class that performs line search to find minimum

LineSearch() - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch

LineSearch.LineSearchResult - Class in opennlp.tools.ml.maxent.quasinewton

Class to store lineSearch result

LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Constructor

LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Constructor with sign vector

LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker

An "default" extended span that holds additional information about the Span

LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan

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

logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the the log of the distribution for the specified context.

logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the the log of the distribution for the specified context.

logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior

Populates the specified array with the 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 class opennlp.tools.ml.model.UniformPrior

logPrior(double[], int[]) - 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

Class implementing the probability for a label.

LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability

logSumOfExps(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.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

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

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

max(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

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

MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

MAX_FCT_EVAL_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

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.

maxIdx(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

Find index of maximum element in the vector x

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

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

Retrieves the mean of all values added with Mean.add(double) or 0 if there are zero added values.

mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure

Merge results into fmeasure metric.

mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser

META_LABEL_FINAL - Static variable in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

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

minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Find the parameters that minimize the objective function

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

ModelType - Enum in opennlp.tools.util.model

ModelUtil - Class in opennlp.tools.util.model

Utility class for handling of MaxentModels.

MosesSentenceSampleStream - Class in opennlp.tools.formats.moses

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

MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses

Factory producing OpenNLP MosesSentenceSampleStreams.

Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc

MucNameContentHandler - Class in opennlp.tools.formats.muc

MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler

MucNameSampleStream - Class in opennlp.tools.formats.muc

MutableContext - Class in opennlp.tools.ml.model

Class 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.

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

NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes

Parameters for the evalution 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

Class implementing the multinomial Naive Bayes classifier model.

NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel

NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

Abstract parent class for readers of NaiveBayes.

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

NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader

NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

Abstract parent class for NaiveBayes writers.

NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes

Trains models using the perceptron algorithm.

NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

name - Variable in class opennlp.tools.ml.model.ComparablePredicate

NameContextGenerator - Interface in opennlp.tools.namefind

Interface for generating the context for an name finder by specifying a set of geature generators.

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(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream

This constructor takes an ObjectStream and initializes the class to handle the stream.

NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream

This constructor takes an InputStream and a Charset and opens an associated stream object with the specified encoding specified.

NameFinderEventStream - Class in opennlp.tools.namefind

Class for creating an event stream out of data files for training an name finder.

NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream

Creates a new name finder event stream using the specified data stream and context generator.

NameFinderEventStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream

NameFinderME - Class in opennlp.tools.namefind

Class for creating a maximum-entropy-based name finder.

NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME

NameFinderSequenceValidator - Class in opennlp.tools.namefind

This class is created by the BioCodec.

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

NameSample - Class in opennlp.tools.namefind

Class for holding names for a single unit of text.

NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample

NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample

Initializes the current instance.

NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample

NameSampleDataStream - Class in opennlp.tools.namefind

The NameSampleDataStream class converts tagged Strings provided by a DataStream to NameSample objects.

NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream

NameSampleDataStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP NameSampleDataStreams.

NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats

NameSampleSequenceStream - Class in opennlp.tools.namefind

NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

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

NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.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

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

NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

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

NegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton

Evaluate 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 Sentence Detector 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.

NGramFeatureGenerator - Class in opennlp.tools.doccat

Generates ngram features for a document.

NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator

Constructor for ngrams.

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

Default constructor for Bi grams

NGramGenerator - Class in opennlp.tools.ngram

Generates an nGram, with 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

NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel

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

Initializes an empty instance.

NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel

Initializes the current instance.

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 ] ._.

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

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

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

NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

NumberCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer

numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel

Retrieves the total count of all Ngrams.

O

ObjectDataReader - Class in opennlp.tools.ml.model

ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.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

An indexer 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

An indexer 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 corpus.

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

OntoNotesNameSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

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

OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes

opennlp.tools - package opennlp.tools

Contains packages which solve common NLP tasks.

opennlp.tools.chunker - package opennlp.tools.chunker

Package related to finding non-recursive syntactic annotation such as noun phrase chunks.

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

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

opennlp.tools.formats.brat - package opennlp.tools.formats.brat

opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu

opennlp.tools.formats.convert - package opennlp.tools.formats.convert

opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank

opennlp.tools.formats.irishsentencebank - package opennlp.tools.formats.irishsentencebank

opennlp.tools.formats.leipzig - package opennlp.tools.formats.leipzig

opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt

opennlp.tools.formats.moses - package opennlp.tools.formats.moses

opennlp.tools.formats.muc - package opennlp.tools.formats.muc

opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes

opennlp.tools.langdetect - package opennlp.tools.langdetect

opennlp.tools.languagemodel - package opennlp.tools.languagemodel

Package related to language models

opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer

Package related with the lemmatizer tool

opennlp.tools.ml - package opennlp.tools.ml

opennlp.tools.ml.maxent - package opennlp.tools.ml.maxent

Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.

opennlp.tools.ml.maxent.io - package opennlp.tools.ml.maxent.io

Provides 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

opennlp.tools.ml.model - package opennlp.tools.ml.model

opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes

opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron

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 sentece boundries.

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.model - package opennlp.tools.util.model

opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer

OSGiExtensionLoader - Class in opennlp.tools.util.ext

OSGi bundle activator which can use an OSGi service as an OpenNLP extension.

OSGiExtensionLoader() - Constructor for class opennlp.tools.util.ext.OSGiExtensionLoader

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

Stream filter which merges text lines into paragraphs.

ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream

ParallelNegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton

Evaluate 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(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

Parse the sentence

parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration

parse(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration

parse(BratDocument) - Method in class opennlp.tools.formats.brat.BratDocumentParser

parse(InputStream) - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser

parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample

parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample

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

parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser

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

Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head index.

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

Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head and head index.

parse(Parse, int) - Method in interface opennlp.tools.parser.Parser

Returns the specified number of parses or fewer for the specified tokens.

parse(Parse) - Method in interface opennlp.tools.parser.Parser

Returns a parse for the specified parse of tokens.

parse(String) - Static method in enum opennlp.tools.parser.ParserType

parse(String) - Static method in class opennlp.tools.postag.POSSample

parse(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation

parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample

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

Return a new Version initialized to the value represented by the specified String

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(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument

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

Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser

Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser

Parser - Interface in opennlp.tools.parser

Interface for full-syntactic parsers.

Parser - Class in opennlp.tools.parser.treeinsert

Built/attach parser.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser

Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser

ParserChunkerFactory - Class in opennlp.tools.parser

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

ParserChunkerSequenceValidator - Class in opennlp.tools.parser

ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator

ParserCrossValidator - Class in opennlp.tools.parser

ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator

ParserEvaluationMonitor - Interface in opennlp.tools.parser

ParserEvaluator - Class in opennlp.tools.parser

Class for ParserEvaluator.

ParserEvaluator(Parser, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserEvaluator

Construct a parser with some evaluation monitors.

ParserEventStream - Class in opennlp.tools.parser.chunking

Wrapper class for one of four parser event streams.

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

Create an event stream based on the specified data stream of the specified type using the specified head rules.

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

ParserEventStream - Class in opennlp.tools.parser.treeinsert

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

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

ParserEventTypeEnum - Enum in opennlp.tools.parser

Enumerated type of event types for the parser.

ParserFactory - Class in opennlp.tools.parser

ParserModel - Class in opennlp.tools.parser

This is an abstract base class for ParserModel implementations.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(Path) - Constructor for class opennlp.tools.parser.ParserModel

ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel

ParserType - Enum in opennlp.tools.parser

ParseSampleStream - Class in opennlp.tools.parser

ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream

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

ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert

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

ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

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

ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

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

pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses

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

PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel

PerceptronModelReader - Class in opennlp.tools.ml.perceptron

Abstract parent class for readers of Perceptron.

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

PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader

PerceptronModelWriter - Class in opennlp.tools.ml.perceptron

Abstract parent class for Perceptron writers.

PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelWriter

PerceptronTrainer - Class in opennlp.tools.ml.perceptron

Trains models using the perceptron algorithm.

PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter

Writes the model to disk, using the writeX() methods provided by extending classes.

persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter

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

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

persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

Writes the model to disk, using the writeX() methods provided by extending classes.

persist() - Method in class opennlp.tools.ml.perceptron.PerceptronModelWriter

Writes the model to disk, using the writeX() methods provided by extending classes.

phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample

Static method to create arrays of spans of phrases

PlainTextByLineStream - Class in opennlp.tools.util

Reads a plain text file and return each line as a String object.

PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream

PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream

PlainTextFileDataReader - Class in opennlp.tools.ml.model

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

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

PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader

Constructor which directly instantiates the BufferedReader containing the model contents.

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

Constructor which takes a File and creates a reader for it.

PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

Model writer that saves models in plain text format.

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

Constructor which takes a NaiveBayesModel and a File and prepares itself to write the model to that file.

PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

Constructor which takes a NaiveBayesModel and a BufferedWriter and prepares itself to write the model to that writer.

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

PorterStemmer - Class in opennlp.tools.stemmer

Stemmer, implementing the Porter Stemming Algorithm The Stemmer class transforms a word into its root form.

PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer

PortugueseContractionUtility - Class in opennlp.tools.formats.ad

Utility class to handle Portuguese contractions.

PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility

POSContextGenerator - Interface in opennlp.tools.postag

The interface for a context generator for the POS Tagger.

POSDictionary - Class in opennlp.tools.postag

Provides a means of determining which tags are valid for a particular word based on a tag dictionary 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

POSEvaluator - Class in opennlp.tools.postag

The POSEvaluator measures the performance of the given POSTagger with the provided reference POSSamples.

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(String, SequenceClassificationModel<String>, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel

POSModel(File) - Constructor for class opennlp.tools.postag.POSModel

POSModel(Path) - Constructor for class opennlp.tools.postag.POSModel

POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel

POSModelSerializer - Class in opennlp.tools.util.model

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

POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample

POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample

POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample

POSSampleEventStream - Class in opennlp.tools.postag

This class reads the POSSamples from the given Iterator and converts the POSSamples into Events which can be used by the maxent library for training.

POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with the given samples and the given POSContextGenerator.

POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with given samples and a DefaultPOSContextGenerator.

POSSampleSequenceStream - Class in opennlp.tools.postag

POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

PosSampleStream - Class in opennlp.tools.parser

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

POSTagger - Interface in opennlp.tools.postag

The interface for part of speech taggers.

POSTaggerCrossValidator - Class in opennlp.tools.postag

POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator that builds a ngram dictionary dynamically.

POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag

POSTaggerFactory - Class in opennlp.tools.postag

The factory that provides POS Tagger default implementations and resources

POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory

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

POSTaggerFactory(Dictionary, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory

Deprecated.

this constructor is here for backward compatibility and is not functional anymore in the training of 1.8.x series models

POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory

POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag

PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen

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

POSTaggerME - Class in opennlp.tools.postag

A part-of-speech tagger that uses maximum entropy.

POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes the current instance with the provided model.

POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds the token POS Tag as feature.

POSTaggerNameFeatureGenerator(POSTagger) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a new instance.

POSTaggerNameFeatureGenerator(POSModel) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a new instance.

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

POSToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

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

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

POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

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

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

predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

predictLanguages(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector

predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Predict all possible lemmas (using a default upper bound).

predictNextTokens(StringList) - Method in interface opennlp.tools.languagemodel.LanguageModel

Predict the most probable output sequence of tokens, given an input sequence of tokens

predictNextTokens(StringList) - 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

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

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

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 occuring word.

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

PreviousTwoMapFeatureGenerator - Class in opennlp.tools.util.featuregen

This AdaptiveFeatureGenerator generates features indicating the outcome associated with two previously occuring words.

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

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

probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME

Populates the specified array with the probabilities of the last decoded sequence.

probs() - Method in class opennlp.tools.chunker.ChunkerME

Returns an 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() - Method in class opennlp.tools.lemmatizer.LemmatizerME

Returns an 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() - Method in class opennlp.tools.namefind.NameFinderME

Returns an array with the probabilities of the last decoded sequence.

probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME

Returns 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.

probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME

Populates the specified array with the probabilities for each tag of the last tagged sentence.

probs() - Method in class opennlp.tools.postag.POSTaggerME

Returns an array with the probabilities for each tag of the last tagged sentence.

processSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Evaluates the given reference DocumentSample object.

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

Adds the tokens to the dictionary as one new entry.

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, String) - Method in class opennlp.tools.util.TrainingParameters

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

put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

put(String, int) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

put(String, double) - Method in class opennlp.tools.util.TrainingParameters

put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

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

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

putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters

putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

Q

QNMinimizer - Class in opennlp.tools.ml.maxent.quasinewton

Implementation of 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

QNMinimizer(double, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

QNMinimizer(double, double, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

QNMinimizer(double, double, int, int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

QNMinimizer(double, double, int, int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Constructor

QNMinimizer.Evaluator - Interface in opennlp.tools.ml.maxent.quasinewton

Evaluate 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

QNModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNModel

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

QNModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader

QNModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader

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

QNModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.QNModelWriter

QNTrainer - Class in opennlp.tools.ml.maxent.quasinewton

Maxent model trainer using L-BFGS algorithm.

QNTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

QNTrainer(boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

QNTrainer(int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

QNTrainer(int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

QNTrainer(int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

QNTrainer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

R

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

read() - Method in class opennlp.tools.chunker.ChunkSampleStream

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.LeipzigDoccatSampleStream

Deprecated.

read() - Method in class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream

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.ontonotes.OntoNotesNameSampleStream

read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream

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

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

read() - Method in class opennlp.tools.ml.model.HashSumEventStream

read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream

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

Parses the next sentence and return 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(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Writes the provided InputStream into a byte array which is returned

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

Returns the next object.

read() - Method in class opennlp.tools.util.ParagraphStream

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

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

RealBasicEventStream - Class in opennlp.tools.ml.maxent

RealBasicEventStream(ObjectStream<String>) - Constructor for class opennlp.tools.ml.maxent.RealBasicEventStream

RealValueFileEventStream - Class in opennlp.tools.ml.model

RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream

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

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

Name finder based on a series of regular expressions.

RegexNameFinder(Map<String, Pattern[]>) - Constructor for class opennlp.tools.namefind.RegexNameFinder

RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder

RegexNameFinder(Pattern[]) - Constructor for class opennlp.tools.namefind.RegexNameFinder

Deprecated.

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 in opennlp.tools.namefind

RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind

register(Map<String, ArtifactSerializer>) - Static method in class opennlp.tools.util.model.GenericModelSerializer

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.LeipzigDocumentSampleStreamFactory

Deprecated.

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

Removes the given tokens form the current instance.

remove() - Method in class opennlp.tools.ml.model.HashSumEventStream

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

Removes the specified tokens form the NGram model, they are just dropped.

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

remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream

remove() - Method in class opennlp.tools.util.EventTraceStream

remove() - Method in class opennlp.tools.util.ReverseListIterator

replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream

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

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.NameFinderCensus90NameStream

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, the seen sequence of elements must be repeated.

ResetableIterator<E> - Interface in opennlp.tools.util

This interface makes an Iterator resetable.

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

S

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

Returns 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

Returns a map in which the key is the category name and the value is the score

SDContextGenerator - Interface in opennlp.tools.sentdetect

Interface for SentenceDetectorME context generators.

SDCrossValidator - Class in opennlp.tools.sentdetect

A cross validator for the sentence detector.

SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

SDCrossValidator(String, TrainingParameters) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

Deprecated.

Use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) and pass in a SentenceDetectorFactory.

SDCrossValidator(String, TrainingParameters, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

Deprecated.

use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.

SDCrossValidator(String) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

Deprecated.

use SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) instead and pass in a TrainingParameters object.

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(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Sentence detect a string.

sentDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detect sentences in a String.

Sentence() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.Sentence

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.

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.

SentenceDetectorFactory - Class in opennlp.tools.sentdetect

The factory that provides SentenceDetecor 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(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Initializes the current instance.

SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.

Use a SentenceDetectorFactory to extend SentenceDetector functionality.

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

SentenceModel - Class in opennlp.tools.sentdetect

The SentenceModel is the model used by a learnable SentenceDetector.

SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(String, MaxentModel, boolean, Dictionary, char[], Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Deprecated.

Use SentenceModel.SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory) instead and pass in a SentenceDetectorFactory

SentenceModel(String, MaxentModel, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Deprecated.

Use SentenceModel.SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory) instead and pass in a SentenceDetectorFactory

SentenceModel(String, MaxentModel, boolean, Dictionary, Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(String, MaxentModel, boolean, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(Path) - Constructor for class opennlp.tools.sentdetect.SentenceModel

SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel

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 a Reader 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.

sentPosDetect(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentPosDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Sentence detect a string.

sentPosDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detect the position of the first words of sentences in a String.

Sequence<T> - Class in opennlp.tools.ml.model

Class which models a sequence.

Sequence(Event[], T) - Constructor for class opennlp.tools.ml.model.Sequence

Creates a new sequence made up of the specified events and derived from the specified source.

Sequence - Class in opennlp.tools.util

Represents a weighted sequence of outcomes.

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

Creates a new sequence of outcomes.

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

Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence

Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence

SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer

SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer

SequenceClassificationModel<T> - Interface in opennlp.tools.ml.model

A classification model that can label an input sequence.

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

SequenceStream - 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 sequence stream into an event stream.

SequenceStreamEventStream(SequenceStream) - 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

serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary

Writes the current instance to the given OutputStream.

serialize(OutputStream, Iterator<Entry>) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Deprecated.

Use DictionaryEntryPersistor.serialize(java.io.OutputStream, java.util.Iterator, boolean) instead

serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Serializes the given entries to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel

Writes the ngram instance to the given OutputStream.

serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer

serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules

Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.

serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

serialize(Writer) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.

serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary

Writes the POSDictionary to the given OutputStream; After the serialization is finished the provided OutputStream remains open.

serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer

serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary

serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer

Serializes the artifact to the provided OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel

Serializes the model to the given OutputStream.

serialize(File) - Method in class opennlp.tools.util.model.BaseModel

serialize(Path) - Method in class opennlp.tools.util.model.BaseModel

serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer

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(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer

serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters

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

Assigns a probability to a label, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

set(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probabilities

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) - Method in class opennlp.tools.ml.naivebayes.Probability

Assigns a probability to a label, discarding any previously assigned probability.

setAll(double, double, double, double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Update line search elements

setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Update 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.

setConfidence(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Sets the best confidence with which this set of probabilities has been calculated.

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

Sets the count of an existing ngram.

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

Deprecated.

setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

setDictionary(String, 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(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

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.LogProbability

Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.

setIfLarger(Probability) - 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(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities

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) - 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.

setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink

sets the item id.

setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink

Sets the item name.

setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink

returns the parent ID of the linked item

setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink

sets the item type.

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

Sets the n best linked entries from an external data source.

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

Assigns a log probability to a label, discarding any previously assigned probability.

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

Assigns a log probability to a label, discarding any previously assigned probability.

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

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.

setMetadata(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

setmPatterns(Pattern[]) - Method in class opennlp.tools.namefind.RegexNameFinder

setNextPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse

Sets the set of punctuation tags which follow this parse.

setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Assigns the parameter or expected value at the specified outcomeIndex the specified value.

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 set of punctuation tags which preceed this parse.

setPseudoGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

setRoot(ADSentenceStream.SentenceParser.Node) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

setScoreMap(HashMap<String, Double>) - Method in class opennlp.tools.entitylinker.BaseLink

setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan

sets the search term that is used to link this span to an external data source

setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf

setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan

sets the id or index of the sentence from which this span was extracted

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.

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.

setsType(String) - Method in class opennlp.tools.namefind.RegexNameFinder

setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory

setText(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence

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

SAX style SGML parser.

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

SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc

show(StringBuffer) - Method in class opennlp.tools.parser.Parse

Appends the specified string buffer with a string representation of this parse.

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

Displays this parse using Penn Treebank-style formatting.

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

ShrinkCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer

SimplePerceptronSequenceTrainer - Class in opennlp.tools.ml.perceptron

Trains models for sequences using the perceptron algorithm.

SimplePerceptronSequenceTrainer() - Constructor for class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

SimpleTokenizer - Class in opennlp.tools.tokenize

Performs tokenization using character classes.

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

Deprecated.

Use INSTANCE field instead to obtain an instance, constructor will be made private in the future.

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

Retrieves the number of tokens in the current instance.

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

Retrieves the number of tokens inside this list.

SnowballStemmer - Class in opennlp.tools.stemmer.snowball

SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer.ALGORITHM - Enum 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

Get a map of the scores sorted in ascending aorder together with their associated categories.

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

Returns a map with the score as a key in ascending order.

Span - Class in opennlp.tools.util

Class for storing start and end integer offsets.

Span(int, int, String) - Constructor for class opennlp.tools.util.Span

Initializes a new Span Object.

Span(int, int, String, double) - Constructor for class opennlp.tools.util.Span

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

Initializes a new Span Object.

Span(int, int, double) - Constructor for class opennlp.tools.util.Span

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

Initializes a new Span object with an existing Span which is shifted by an offset.

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 prob

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

SpanAnnotation - Class in opennlp.tools.formats.brat

spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span

Converts an array of Spans to an array of Strings.

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(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader

START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream

START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream

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

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

Returns true if the specified span is the begin of this span and the specified span is contained in this span.

stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a String.

stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a CharSequence.

stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a char[].

stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a portion of a char[] array.

stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a leading portion of a char[] array.

stem() - Method in class opennlp.tools.stemmer.PorterStemmer

Stem the word placed into the Stemmer buffer through calls to add().

stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.irishStemmer

stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer

stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer

Stemmer - Interface in opennlp.tools.stemmer

The stemmer is reducing a word to its stem.

stop(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader

StringList - Class in opennlp.tools.util

The StringList is an immutable list of Strings.

StringList(String) - Constructor for class opennlp.tools.util.StringList

Initializes the current instance.

StringList(String...) - Constructor for class opennlp.tools.util.StringList

Initializes the current 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

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

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

T

tag(String[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence of tokens pos tags.

tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger

tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME

tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME

Returns at most the specified number of taggings for the specified sentence.

TagDictionary - Interface in opennlp.tools.postag

Interface to determine which tags are valid for a particular word based on a tag dictionary.

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

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.maxent.quasinewton.ArrayMath

Convert a list of Double objects into an array of primitive doubles

toIntArray(List<Integer>) - Static method in class opennlp.tools.ml.maxent.quasinewton.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.

TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates features for different for the class of the token.

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

TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator

TokenContextGenerator - Interface in opennlp.tools.tokenize

Interface for TokenizerME context generators.

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 the token itself.

TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator

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

tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer

Splits a string into its atomic parts

tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer

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

Tokenizer - Interface in opennlp.tools.tokenize

The interface for tokenizers, which segment a string into its tokens.

TokenizerCrossValidator - Class in opennlp.tools.tokenize

TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator

TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize

TokenizerEvaluator - Class in opennlp.tools.tokenize

The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference TokenSamples.

TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator

Initializes the current instance with the given Tokenizer.

TokenizerFactory - Class in opennlp.tools.tokenize

The factory that provides Tokenizer default implementations and resources.

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

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

TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory

Creates a TokenizerFactory.

TokenizerME - Class in opennlp.tools.tokenize

A Tokenizer for converting raw text into separated tokens.

TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME

TokenizerME(TokenizerModel, Factory) - Constructor for class opennlp.tools.tokenize.TokenizerME

Deprecated.

use TokenizerFactory to extend the Tokenizer functionality

TokenizerModel - Class in opennlp.tools.tokenize

The TokenizerModel is the model used by a learnable Tokenizer.

TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes the current instance.

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

Initializes the current instance.

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

Initializes the current instance.

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

TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes the current instance.

TokenizerStream - Class in opennlp.tools.tokenize

The TokenizerStream uses a tokenizer to tokenize the input string and output TokenSamples.

TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream

TokenNameFinder - Interface in opennlp.tools.namefind

The interface for name finders which provide name tags for a sequence of tokens.

TokenNameFinderCrossValidator - Class in opennlp.tools.namefind

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Name finder cross validator

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind

TokenNameFinderEvaluator - Class in opennlp.tools.namefind

The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided reference NameSamples.

TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator

Initializes the current instance with the given TokenNameFinder.

TokenNameFinderFactory - Class in opennlp.tools.namefind

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

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

TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory

TokenNameFinderModel - Class in opennlp.tools.namefind

The TokenNameFinderModel is the model used by a learnable TokenNameFinder.

TokenNameFinderModel(String, SequenceClassificationModel<String>, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(Path) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind

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 new instance.

TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

Initializes a new instance.

TokenSample - Class in opennlp.tools.tokenize

A TokenSample is text with token spans.

TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample

Initializes the current instance.

TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample

TokenSampleStream - Class in opennlp.tools.tokenize.lang.en

Class which produces an Iterator<TokenSample> from a file of space delimited token.

TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream

TokenSampleStream - Class in opennlp.tools.tokenize

This class is a stream filter which reads in string encoded samples and creates TokenSamples out of them.

TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

TokenSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP TokenSampleStreams.

TokenTag - Class in opennlp.tools.util

TokenTag(String, String, String[]) - Constructor for class opennlp.tools.util.TokenTag

TokSpanEventStream - Class in opennlp.tools.tokenize

This class reads the TokenSamples from the given Iterator and converts the TokenSamples into Events which can be used by the maxent library for training.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

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 to lower case independent of the current locale via Character.toLowerCase(char) which uses mapping information from the UnicodeData file.

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

Returns the top k chunk sequences for the specified sentence with the specified pos-tags

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

Returns 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[], double) - Method in class opennlp.tools.chunker.ChunkerME

topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger

topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger

topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME

topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

toString() - Method in class opennlp.tools.chunker.ChunkSample

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

toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Represents this objects 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 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.langdetect.Language

toString() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

Represents this objects as human readable String.

toString() - Method in class opennlp.tools.langdetect.LanguageSample

toString() - Method in class opennlp.tools.lemmatizer.LemmaSample

toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

Represents this objects as human readable String.

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.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 objects 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

Creates a human read-able String representation.

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

Generates a human readable string.

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

toString() - Method in class opennlp.tools.util.TokenTag

toString() - Method in class opennlp.tools.util.Version

Retrieves the version string.

toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil

Converts to upper case independent of the current locale via Character.toUpperCase(char) which uses mapping information from the UnicodeData file.

train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME

train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME

train(ObjectStream<LanguageSample>, TrainingParameters, LanguageDetectorFactory) - Static method in class opennlp.tools.langdetect.LanguageDetectorME

train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME

train(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer

train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer

train(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer

train(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer

train(SequenceStream) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer

train(ObjectStream<Event>) - Method in interface opennlp.tools.ml.EventTrainer

train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer

train(SequenceStream) - Method in interface opennlp.tools.ml.SequenceTrainer

train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser

train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser

train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME

train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.

Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.

train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

train(String, ObjectStream<SentenceSample>, boolean, Dictionary) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.

Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) and pass in af SentenceDetectorFactory.

train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME

Trains a model for the TokenizerME.

TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer

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

TrainerFactory - Class in opennlp.tools.ml

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

TrainerFactory.TrainerType - Enum 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

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

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

TrainingParameters(Map<String, String>) - Constructor for class opennlp.tools.util.TrainingParameters

Deprecated.

TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters

trainModel(ObjectStream<Event>) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train 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.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, Prior, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

trainModel(int, SequenceStream, int, boolean) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement

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

trim(CharSequence) - Method in class opennlp.tools.util.Span

Return a copy of this span with leading and trailing white spaces removed.

TwitterCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

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

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

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 for a name finder that the specified tokens have been classified with the coorisponds set of specified outcomes.

updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Informs the 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 AdaptiveFeatureGenerators.

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

updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel

updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel

updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

updateContext(Sequence, 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.

updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream

updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream

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

UrlCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

UrlCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer

useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME

Returns the value of the alpha-numeric optimization flag.

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

Check parameters.

validate() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer

validate() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

validate() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer

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 expected outcomes are all contained as outcomes in the given model.

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator

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, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator

validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator

Determines whether a particular continuation of a sequence is valid.

valueAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood

Negative log-likelihood

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood

Negative log-likelihood

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

valueOf(String) - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.conllu.ConlluTagset

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.parser.ParserEventTypeEnum

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.parser.ParserType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.util.model.ModelType

Returns the enum constant of this type with the specified name.

values() - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.formats.conllu.ConlluTagset

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType

Returns an array containing the constants of this enum type, in the order they are declared.

values - Variable in class opennlp.tools.ml.model.ComparableEvent

values() - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.parser.ParserEventTypeEnum

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.parser.ParserType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum opennlp.tools.util.model.ModelType

Returns an array containing the constants of this enum type, in the order they are declared.

VERBOSE_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer

VERBOSE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer

Version - Class in opennlp.tools.util

The Version class represents the OpenNlp Tools library version.

Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version

Initializes the current instance with the provided versions.

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

Initializes the current instance with the provided versions.

W

WhitespaceTokenizer - Class in opennlp.tools.tokenize

This tokenizer uses white spaces to tokenize the input text.

WhitespaceTokenStream - Class in opennlp.tools.tokenize

This stream formats a TokenSamples into whitespace separated token strings.

WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream

WindowFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates previous and next features for a given AdaptiveFeatureGenerator.

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

Initializes the current instance with the given parameters.

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

Initializes the current instance with the given parameters.

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

Initializes the current instance.

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

Initializes the current instance with the given parameters.

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

WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator

WordTagSampleStream - Class in opennlp.tools.postag

A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects.

WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream

Initializes the current instance.

WordTagSampleStreamFactory - Class in opennlp.tools.formats

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

WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats

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

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

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

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

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

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

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 model to the given OutputStream.

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

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

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

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

XmlUtil - Class in opennlp.tools.util

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

Z

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

The integer 0.

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