Index (Apache OpenNLP Tools 2.3.0 API)

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

A

AbstractBottomUpParser - Class in opennlp.tools.parser: Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser
AbstractContextGenerator - Class in opennlp.tools.parser: Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator
AbstractDataIndexer - Class in opennlp.tools.ml.model: Abstract DataIndexer implementation for collecting event and context counts used in training.
AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer
AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml: A basic EventModelSequenceTrainer implementation that processes events.
AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer
AbstractEventStream<T> - Class in opennlp.tools.util: A base ObjectStream implementation for events.
AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream: Initializes an AbstractEventStream with a sample Iterator.
AbstractEventTrainer - Class in opennlp.tools.ml: A basic EventTrainer implementation.
AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractEventTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractMLModelWriter - Class in opennlp.tools.ml
AbstractMLModelWriter() - Constructor for class opennlp.tools.ml.AbstractMLModelWriter
AbstractModel - Class in opennlp.tools.ml.model: A basic MaxentModel implementation.
AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel: Initializes an AbstractModel.
AbstractModel.ModelType - Enum Class in opennlp.tools.ml.model
AbstractModelReader - Class in opennlp.tools.ml.model: An abstract, basic implementation of a model reader.
AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader: Initializes a AbstractModelReader via a File.
AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader: Initializes a AbstractModelReader via a DataReader.
AbstractModelWriter - Class in opennlp.tools.ml.model: An abstract, basic implementation of a model writer.
AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter
AbstractObjectStream<T> - Class in opennlp.tools.util: A base ObjectStream implementation.
AbstractParserEventStream - Class in opennlp.tools.parser: Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractSampleStreamFactory<T,P> - Class in opennlp.tools.formats: Base class for sample stream factories.
AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert
AbstractTrainer - Class in opennlp.tools.ml
AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer
AbstractTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractTrainer: Initializes a AbstractTrainer via TrainingParameters.
AbstractXmlFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen: An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Class in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(InputStreamFactory, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream: Instantiates a ADChunkSampleStream stream from an InputStreamFactory.
ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream: Instantiates a ADChunkSampleStream stream from ObjectStream<String>, that could be a PlainTextByLineStream object.
ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
add(char) - Method in class opennlp.tools.stemmer.PorterStemmer: Add a character to the word being stemmed.
add(double) - Method in class opennlp.tools.util.eval.Mean: Adds a value to the arithmetic mean.
add(double, long) - Method in class opennlp.tools.util.eval.Mean: Adds a value count times to the arithmetic mean.
add(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel: Adds an ngram.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramCharModel: Adds a CharSequence that will be ngrammed into chars.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramModel: Adds character NGrams to the current instance.
add(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel: Adds further tokens.
add(String, double) - Method in class opennlp.tools.util.Sequence: Adds an outcome and probability to this sequence.
add(IrishSentenceBankDocument.IrishSentenceBankSentence) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
add(StringList) - Method in class opennlp.tools.ngram.NGramModel: Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel: Adds NGrams up to the specified length to the current instance.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil: Adds cutoff and iterations to manifestInfoEntries.
addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator: Adds a feature generator.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.
additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream: Generated previous decision features for each token based on contents of the specified prevMap.
AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen: The AdditionalContextFeatureGenerator generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
additionalData() - Method in record class opennlp.tools.util.TokenTag: Returns the value of the additionalData record component.
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse: Utility method to insert named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse: Designates that the specified punctuation follows this parse.
addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse: Designates that the specified punctuation should is prior to this parse.
addProb(double) - Method in class opennlp.tools.parser.Parse: Adds the specified logProb to this current log for this parse.
adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse: Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse
ADNameSampleStream - Class in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream: Deprecated.
ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream: Initializes a new ADNameSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADPOSSampleStream - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new POSSample stream from an InputStreamFactory
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new ADPOSSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream: Initializes a new ADSentenceSampleStream.
ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream: Initializes a new ADSentenceSampleStream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
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: A CharSequenceNormalizer implementation that aggregates the functionality of other normalizers.
AggregateCharSequenceNormalizer(CharSequenceNormalizer...) - Constructor for class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen: The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Initializes the current instance.
AggregatedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
AggregatedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
algorithm() - Method in class opennlp.tools.util.TrainingParameters
algorithm(String) - Method in class opennlp.tools.util.TrainingParameters
ALGORITHM_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
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
AnnotatorNoteAnnotation - Class in opennlp.tools.formats.brat
ARABIC - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
arabicStemmer - Class in opennlp.tools.stemmer.snowball: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
arabicStemmer() - Constructor for class opennlp.tools.stemmer.snowball.arabicStemmer
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BilouCodec: B requires CL or L, C requires BL, L requires B, O requires any valid combo/unit, U requires none.
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BioCodec
areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec: Checks if the outcomes of a model are compatible with this SequenceCodec.
argmax(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Finds the index of the maximum element in a vector x
ArrayMath - Class in opennlp.tools.ml: Utility class for simple vector arithmetic.
ArrayMath() - Constructor for class opennlp.tools.ml.ArrayMath
ArtifactProvider - Interface in opennlp.tools.util.model: Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model: Responsible to create an artifact from an InputStream.
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary: Converts this Dictionary to a Set<String>.
ATTACH - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert: Generates predictive contexts for deciding how constituents should be attached.
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator: Instantiates an AttachContextGenerator for making decisions about attachments.
ATTRIBUTE_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
AttributeAnnotation - Class in opennlp.tools.formats.brat
attributes() - Method in record class opennlp.tools.dictionary.serializer.Entry: Returns the value of the attributes record component.
Attributes - Class in opennlp.tools.dictionary.serializer: The Attributes class stores name value pairs.
Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes
available_models - Static variable in class opennlp.tools.util.DownloadUtil

B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat: Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator: Instantiates a default BagOfWordsFeatureGenerator instance.
BaseLink - Class in opennlp.tools.entitylinker: Represents a minimal tuple of information.
BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseModel - Class in opennlp.tools.util.model: This is a common base model which can be used by the components' specific model classes.
BaseToolFactory - Class in opennlp.tools.util: Base class for all tool factories.
BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory: All subclasses should have an empty constructor
BasicContextGenerator - Class in opennlp.tools.ml.maxent: A ContextGenerator implementation for maxent decisions, assuming that the input given to the BasicContextGenerator.getContext(String) method is a String containing contextual predicates separated by spaces, for instance:
BasicContextGenerator() - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BasicContextGenerator(String) - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator: Initializes a BasicContextGenerator with a different separator char.
BasicFormatParams - Interface in opennlp.tools.cmdline.params: Common format parameters.
BasicTrainingParams - Interface in opennlp.tools.cmdline.params: Common training parameters.
BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch
BeamSearch<T> - Class in opennlp.tools.ml: Performs k-best search over a sequence.
BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch: Initializes a BeamSearch instance.
BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch: Initializes a BeamSearch instance.
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util: Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the Sequence with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
BigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
BigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
BilouCodec - Class in opennlp.tools.namefind: The default SequenceCodec implementation according to the BILOU scheme.
BilouCodec() - Constructor for class opennlp.tools.namefind.BilouCodec
BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind: A SequenceValidator implementation for the BilouCodec.
BilouNameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.BilouNameFinderSequenceValidator
BinaryFileDataReader - Class in opennlp.tools.ml.model: A DataReader that reads files from a binary format.
BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via an DataInputStream.
BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via a File and creates a DataInputStream for it.
BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via an InputStream and creates a DataInputStream for it.
BinaryGISModelReader - Class in opennlp.tools.ml.maxent.io: A GISModelReader that reads models from a binary format.
BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelReader: Instantiates BinaryGISModelReader via a DataInputStream containing the model contents.
BinaryGISModelWriter - Class in opennlp.tools.ml.maxent.io: A GISModelWriter that writes models in a binary format.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Instantiates BinaryGISModelWriter via an GIS model and a DataOutputStream.
BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Instantiates BinaryGISModelWriter via an GIS model and a File.
BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelReader that reads models from a binary format.
BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a DataInputStream containing the model contents.
BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a File and creates a reader for it.
BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelWriter that writes models in a binary format.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a DataOutputStream.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a File.
BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron: A PerceptronModelReader that reads models from a binary format.
BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Instantiates BinaryPerceptronModelReader via a DataInputStream containing the model contents.
BinaryPerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Instantiates BinaryPerceptronModelReader via a File and creates a reader for it.
BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron: A PerceptronModelWriter that writes models in a binary format.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Instantiates BinaryPerceptronModelWriter via an perceptron model and a DataOutputStream.
BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Instantiates BinaryPerceptronModelWriter via an perceptron model and a File.
BinaryQNModelReader - Class in opennlp.tools.ml.maxent.io: A QNModelReader that reads models from a binary format.
BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelReader: Instantiates BinaryQNModelReader via a DataInputStream containing the model contents.
BinaryQNModelWriter - Class in opennlp.tools.ml.maxent.io: A QNModelWriter that writes models in a binary format.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Instantiates BinaryQNModelWriter via an QN model and a DataOutputStream.
BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Instantiates BinaryQNModelWriter via an QN model and a File.
BioCodec - Class in opennlp.tools.namefind: The default SequenceCodec implementation according to the BIO scheme: B: 'beginning' of a NE I: 'inside', the word is inside a NE O: 'outside', the word is a regular word outside a NE See also the paper by Roth D. and Ratinov L.: Design Challenges and Misconceptions in Named Entity Recognition.
BioCodec() - Constructor for class opennlp.tools.namefind.BioCodec
BioNLP2004NameSampleStream - Class in opennlp.tools.formats: A sample stream for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStreamFactory, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream: Initializes a BioNLP2004NameSampleStream.
BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse
BratAnnotation - Class in opennlp.tools.formats.brat
BratAnnotationStream - Class in opennlp.tools.formats.brat: Reads the annotations from the brat .ann annotation file.
BratDocument - Class in opennlp.tools.formats.brat: Brat (brat rapid annotation tool) is based on the stav visualiser which was originally made in order to visualise BioNLP'11 Shared Task data.
BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Constructor for class opennlp.tools.formats.brat.BratDocument
BratDocumentParser - Class in opennlp.tools.formats.brat
BratDocumentParser(SentenceDetector, Tokenizer) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentParser(SentenceDetector, Tokenizer, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentStream - Class in opennlp.tools.formats.brat
BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.brat.BratDocumentStream: Creates a BratDocumentStream which reads the documents from the given input directory.
BratNameSampleStream - Class in opennlp.tools.formats.brat: Generates Name Sample objects for a Brat Document object.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStreamFactory - Class in opennlp.tools.formats.brat
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
BrownCluster(InputStream) - Constructor for class opennlp.tools.util.featuregen.BrownCluster: Generates the token to cluster map from Brown cluster an InputStream.
BrownCluster.BrownClusterSerializer - Class in opennlp.tools.util.featuregen
BrownClusterBigramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen: Generates Brown clustering features for token bigrams.
BrownClusterBigramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
BrownClusterSerializer() - Constructor for class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
BrownClusterTokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen: Generates Brown clustering features for token classes.
BrownClusterTokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
BrownClusterTokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen: Generates Brown clustering features for current token.
BrownClusterTokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
BrownTokenClasses - Class in opennlp.tools.util.featuregen: Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Constructor for class opennlp.tools.util.featuregen.BrownTokenClasses
BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates BrownCluster features for current token and token class.
BrownTokenClassFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates BrownCluster features for current token.
BrownTokenFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
BUILD - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
BuildContextGenerator - Class in opennlp.tools.parser.chunking: Generates predictive contexts for deciding how constituents should be combined.
BuildContextGenerator - Class in opennlp.tools.parser.treeinsert: Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions about combining constituents.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions.
BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions about combining constituents using a Dictionary.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram Dictionary from the specified data stream using HeadRules and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram Dictionary from the specified data stream using the specified head rule and specified cut-off.
BuildModelUpdaterTool - Class in opennlp.tools.cmdline.parser
BuildModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME: Constructs a nGram dictionary from an ObjectStream of samples.
BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser: Label used to distinguish build nodes from non-built nodes.
ByteArraySerializer - Class in opennlp.tools.util.model: An ArtifactSerializer implementation for binary data, kept in byte[].
ByteArraySerializer() - Constructor for class opennlp.tools.util.model.ByteArraySerializer

C

Cache<K,V> - Class in opennlp.tools.util: Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
CachedFeatureGenerator - Class in opennlp.tools.util.featuregen: Caches features of the aggregated generators.
CachedFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator: Deprecated.
CachedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
CachedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
calculateBigramMLProbability(String, String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
calculateHashSum() - Method in class opennlp.tools.ml.model.HashSumEventStream: Calculates the hash sum of the stream and wraps it into a BigInteger.
calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
calculateMissingNgramProbabilityMass(StringList, double, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
calculateNgramMLProbability(StringList, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
calculateProbability(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel: Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.
calculateProbability(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
calculateUnigramMLProbability(String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a unigram in a vocabulary using maximum likelihood estimation
CATALAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
catalanStemmer - Class in opennlp.tools.stemmer.snowball: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
catalanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.catalanStemmer
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text, provided in separate tokens.
categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
categorize(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text provided as tokens along with the provided extraInformation.
categorize(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.DocumentCategorizerME: Categorize the given text provided as tokens along with the provided extra information.
CensusDictionaryCreatorTool - Class in opennlp.tools.cmdline.namefind: This tool helps create a loadable dictionary for the NameFinder, from data collected from US Census data.
CensusDictionaryCreatorTool() - Constructor for class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen: The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator: Initializes a CharacterNgramFeatureGenerator with min 2 length and max 5 length of ngrams.
CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator: Initializes a CharacterNgramFeatureGenerator.
CharacterNgramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
CharacterNgramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
characters(char[], int, int) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer: A char sequence normalizer, used to adjusting (prune, substitute, add, etc.)
CHECK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
CheckContextGenerator - Class in opennlp.tools.parser.chunking: Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator - Class in opennlp.tools.parser.treeinsert: Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator: Instantiates a CheckContextGenerator for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator: Instantiates a CheckContextGenerator for making decisions using a punctSet.
checkModelType() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
checkModelType() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader: Checks the model type via the the underlying DataReader.
checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader
checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Reads the mode type from the underlying reader and informs if it not a Naive Bayes model.
checkModelType() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader: Reads the mode type from the underlying reader and informs if it not a Perceptron model.
CheckModelUpdaterTool - Class in opennlp.tools.cmdline.parser: Trains a new check model.
CheckModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Generates chunk tags for the given sequence returning the result in an array.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
CHUNK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum: Deprecated.
chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Generates tagged chunk spans for the given sequence returning the result in a span array.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
ChunkContextGenerator - Class in opennlp.tools.parser: Creates predictive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator: Initializes a ChunkContextGenerator instance.
ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator: Initializes a ChunkContextGenerator instance with a custom cacheSize.
Chunker - Interface in opennlp.tools.chunker: The interface for chunkers which provide chunk tags for a sequence of tokens.
CHUNKER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType
ChunkerContextGenerator - Interface in opennlp.tools.chunker: Interface for a BeamSearchContextGenerator used in syntactic chunking.
ChunkerConverterTool - Class in opennlp.tools.cmdline.chunker: Tool to convert multiple data formats into native OpenNLP chunker training format.
ChunkerConverterTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerConverterTool
ChunkerCrossValidator - Class in opennlp.tools.chunker: Cross validator for Chunker.
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator: Initializes a ChunkerCrossValidator instance via given parameters.
ChunkerCrossValidatorTool - Class in opennlp.tools.cmdline.chunker
ChunkerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
ChunkerDetailedFMeasureListener - Class in opennlp.tools.cmdline.chunker
ChunkerDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker: A marker interface for evaluating chunkers.
ChunkerEvaluator - Class in opennlp.tools.chunker: The ChunkerEvaluator measures the performance of the given Chunker with the provided reference samples.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator: Initializes a ChunkerEvaluator instance with the given Chunker.
ChunkerEvaluatorTool - Class in opennlp.tools.cmdline.chunker: A default ChunkSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
ChunkerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
ChunkerEventStream - Class in opennlp.tools.chunker: Class for creating an event stream out of data files for training a Chunker.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream: Creates a new event stream based on the specified data stream using the given context generator.
ChunkerFactory - Class in opennlp.tools.chunker
ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory: Creates a ChunkerFactory that provides the default implementation of the resources.
ChunkerME - Class in opennlp.tools.chunker: The class represents a maximum-entropy-based Chunker.
ChunkerME(String) - Constructor for class opennlp.tools.chunker.ChunkerME: Initializes the Chunker by downloading a default model.
ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME: Initializes the current instance with the specified ChunkerModel.
ChunkerMETool - Class in opennlp.tools.cmdline.chunker
ChunkerMETool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerMETool
ChunkerModel - Class in opennlp.tools.chunker: The ChunkerModel is the model used by a learnable Chunker.
ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid File.
ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid InputStream.
ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, MaxentModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, SequenceClassificationModel<String>, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid URL.
ChunkerModel(Path) - Constructor for class opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid Path.
ChunkerModelLoader - Class in opennlp.tools.cmdline.chunker: Loads a ChunkerModel for the command line tools.
ChunkerModelLoader() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerModelLoader
ChunkerModelSerializer - Class in opennlp.tools.util.model: An ArtifactSerializer implementation for models.
ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer
ChunkerSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP ChunkSampleStreams.
ChunkerTrainerTool - Class in opennlp.tools.cmdline.chunker
ChunkerTrainerTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
ChunkEvaluationErrorListener - Class in opennlp.tools.cmdline.chunker: A default implementation of EvaluationMonitor that prints to an output stream.
ChunkEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener: Creates a listener that will print to the configured logger.
ChunkEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener: Creates a listener that will print to a given OutputStream
CHUNKING - Enum constant in enum class opennlp.tools.parser.ParserType
ChunkSample - Class in opennlp.tools.chunker: Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample: Initializes a ChunkSample instance.
ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample: Initializes a ChunkSample instance.
ChunkSampleSequenceStream - Class in opennlp.tools.chunker: A SequenceStream implementation encapsulating samples.
ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkSampleSequenceStream: Creates a ChunkSampleSequenceStream with given samples using a ChunkerContextGenerator.
ChunkSampleStream - Class in opennlp.tools.chunker: Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream - Class in opennlp.tools.parser
ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream: Initializes a instance.
ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream: Initializes a instance.
clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.
clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder: Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Informs a feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.clearAdaptiveData() method on all aggregated 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
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
clone() - Method in class opennlp.tools.parser.Parse
clone(Parse) - Method in class opennlp.tools.parser.Parse: Clones the right frontier of Parse up to the specified node.
cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse: Clones the right frontier of this root Parse up to and including the specified node.
close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
close() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
close() - Method in class opennlp.tools.formats.brat.BratDocumentStream
close() - Method in class opennlp.tools.formats.Conll02NameSampleStream
close() - Method in class opennlp.tools.formats.Conll03NameSampleStream
close() - Method in class opennlp.tools.formats.conllu.ConlluStream
close() - Method in class opennlp.tools.formats.DirectorySampleStream: Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
close() - Method in class opennlp.tools.formats.masc.MascDocumentStream: Remove the corpus from the memory.
close() - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStream
close() - Method in class opennlp.tools.formats.masc.MascPOSSampleStream
close() - Method in class opennlp.tools.formats.masc.MascSentenceSampleStream
close() - Method in class opennlp.tools.formats.masc.MascTokenSampleStream
close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
close() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
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: Closes the underlying DataOutputStream.
close() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
close() - Method in class opennlp.tools.ml.model.AbstractModelWriter: Closes the underlying DataOutputStream.
close() - Method in class opennlp.tools.ml.model.FileEventStream
close() - Method in class opennlp.tools.ml.model.GenericModelWriter
close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
close() - Method in class opennlp.tools.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 have any effect, as the InputStream cannot be closed.
close() - Method in interface opennlp.tools.util.ObjectStream: Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
CollectionObjectStream<E> - Class in opennlp.tools.util: An ObjectStream implementation that works on a Collection of CollectionObjectStream as source for elements.
CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream
ComparableEvent - Class in opennlp.tools.ml.model: A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparablePredicate - Class in opennlp.tools.ml.model: A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate
compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent
compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate
compareTo(Parse) - Method in class opennlp.tools.parser.Parse
compareTo(Sequence) - Method in class opennlp.tools.util.Sequence
compareTo(Span) - Method in class opennlp.tools.util.Span: Compares the specified Span to the current span.
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList: Compares to token list and ignores the case of the tokens.
complete() - Method in class opennlp.tools.parser.Parse
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is complete.
computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil: Computes the Shortest Edit Script (SES) to convert a word into its lemma.
concatenateObjectStream(Collection<ObjectStream<T>>) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type ObjectStreamUtils.
concatenateObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type.
ConfigurablePOSContextGenerator - Class in opennlp.tools.postag: A configurable context generator for a POSTagger.
ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes a ConfigurablePOSContextGenerator instance.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes a ConfigurablePOSContextGenerator instance.
Conll02NameSampleStream - Class in opennlp.tools.formats: Parser for the Dutch and Spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream: Initializes a Conll02NameSampleStream.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream: Initializes a Conll02NameSampleStream.
Conll02NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
Conll02NameSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
Conll03NameSampleStream - Class in opennlp.tools.formats: An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream: Initializes a Conll03NameSampleStream.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream: Initializes a Conll03NameSampleStream.
Conll03NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
Conll03NameSampleStreamFactory - Class in opennlp.tools.formats
CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
ConlluLemmaSampleStream - Class in opennlp.tools.formats.conllu
ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluLemmaSampleStream: Initializes a ConlluLemmaSampleStream.
ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu
ConlluPOSSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluPOSSampleStream: Initializes a ConlluPOSSampleStream.
ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluSentence - Class in opennlp.tools.formats.conllu
ConlluSentence(List<ConlluWordLine>, String, String, boolean, String, boolean, String, Map<Locale, String>, String) - Constructor for class opennlp.tools.formats.conllu.ConlluSentence
ConlluSentenceSampleStream - Class in opennlp.tools.formats.conllu
ConlluSentenceSampleStream(ObjectStream<ConlluSentence>, int) - Constructor for class opennlp.tools.formats.conllu.ConlluSentenceSampleStream: Initializes a ConlluSentenceSampleStream.
ConlluSentenceSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluStream - Class in opennlp.tools.formats.conllu: The CoNNL-U Format is specified here.
ConlluStream(InputStreamFactory) - Constructor for class opennlp.tools.formats.conllu.ConlluStream: Initializes a ConlluStream.
ConlluTagset - Enum Class in opennlp.tools.formats.conllu
ConlluTokenSampleStream - Class in opennlp.tools.formats.conllu
ConlluTokenSampleStream(ObjectStream<ConlluSentence>) - Constructor for class opennlp.tools.formats.conllu.ConlluTokenSampleStream: Initializes a ConlluTokenSampleStream.
ConlluTokenSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluWordLine - Class in opennlp.tools.formats.conllu
CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
ConllXPOSSampleStream - Class in opennlp.tools.formats: Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream: Initializes a ConllXPOSSampleStream.
ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream: Initializes a ConllXPOSSampleStream.
ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
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: Holds feature information about a specific Parse node.
Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons
ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank
ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank: Note: Do not use this class, internal use only!
Constituent - Class in opennlp.tools.parser: Holds constituents when reading parses.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
constructModel() - Method in class opennlp.tools.ml.maxent.io.GISModelReader: Retrieves a model from disk.
constructModel() - Method in class opennlp.tools.ml.maxent.io.QNModelReader: Retrieves a model from disk.
constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader: Constructs a model.
constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader
constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Constructs a model.
constructModel() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader: Constructs a model.
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Prefix for outcomes continuing a constituent.
contains(int) - Method in class opennlp.tools.ml.model.MutableContext
contains(int) - Method in class opennlp.tools.util.Span: An index with the value of end is considered outside the Span.
contains(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel: Checks if the given ngram is contained in a NGramCharModel.
contains(String) - Method in class opennlp.tools.dictionary.Index: Checks if at least one StringList contains the specified token.
contains(Span) - Method in class opennlp.tools.util.Span: Identical spans are considered to contain each other.
contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary: Checks if this dictionary has the given entry.
contains(StringList) - Method in class opennlp.tools.ngram.NGramModel: Checks fit he given tokens are contained by the current instance.
containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern
containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern
containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern
containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern
containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern
ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler
context() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns the value of the context record component.
Context - Class in opennlp.tools.ml.model: Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Constructor for class opennlp.tools.ml.model.Context: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
ContextGenerator<T> - Interface in opennlp.tools.ml.maxent: Represents a generator of contexts for maxent decisions.
CONTINUE - Static variable in class opennlp.tools.namefind.BilouCodec
CONTINUE - Static variable in class opennlp.tools.namefind.BioCodec
CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME
CONVERGE_TOLERANCE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream
correctlyClassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
correctlyClassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
correctlyClassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
correctlyClassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
correctlyClassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
count() - Method in class opennlp.tools.util.eval.Mean
create() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
create(InputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
create(InputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary: Creates a new POSDictionary from an InputStream.
create(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
create(InputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer: Creates an artifact from the provided InputStream.
create(InputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
create(InputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor: Creates Entrys from the given InputStream and forwards these Entrys to the EntryInserter.
create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory: Creates an AdaptiveFeatureGenerator from an provided XML descriptor.
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory: Instantiates a BaseToolFactory via a given subclassName.
create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory: Instantiates a ChunkerFactory via a given subclassName.
create(String) - Static method in class opennlp.tools.langdetect.LanguageDetectorFactory: Instantiates a LanguageDetectorFactory via a given subclassName.
create(String) - Static method in class opennlp.tools.lemmatizer.LemmatizerFactory: Instantiates a LemmatizerFactory via a given subclassName.
create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory
create(String[]) - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory
create(String[], String[]) - Static method in record class opennlp.tools.util.TokenTag
create(String, byte[], Map<String, Object>, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory: Instantiates a POSTaggerFactory via a given subclassName.
create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory: Initializes a TokenNameFinderFactory instance via given parameters.
create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory
create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory: Factory method the framework uses instantiate a new TokenizerFactory.
create(String, FeatureGenerator[]) - Static method in class opennlp.tools.doccat.DoccatFactory: Factory method the framework uses create a new DoccatFactory.
create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory: Instantiates a BaseToolFactory via a given subclassName.
create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory: Instantiates a Parser via a given model and default configuration parameters (see: AbstractBottomUpParser).
create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory: Instantiates a Parser via a given model and other configuration parameters.
createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory: A model's implementation should call this constructor that creates a model programmatically.
createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel: Create the serializers.
createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory: Creates a Map with pairs of keys and ArtifactSerializer.
createContextGenerator() - Method in class opennlp.tools.namefind.TokenNameFinderFactory: Creates and configures a new NameContextGenerator in a default combination.
createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil: Creates the default TrainingParameters in case they are not provided.
createDictionary(ObjectStream<StringList>) - Static method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool: Creates a dictionary.
createDocumentBuilder() - Static method in class opennlp.tools.util.XmlUtil: Create a new DocumentBuilder which processes XML securely.
createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderFactory: Creates the AdaptiveFeatureGenerator.
createFeatureGenerators() - Method in class opennlp.tools.postag.POSTaggerFactory: Creates the AdaptiveFeatureGenerator.
createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Adds the appropriate features for the token at the specified index with the specified array of previousOutcomes to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[]) method on all aggregated 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
createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form a Collection<T>.
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form an array of ObjectStreamUtils.
createSaxParser() - Static method in class opennlp.tools.util.XmlUtil: Create a new SAXParser which processes XML securely.
createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createSequenceValidator() - Method in class opennlp.tools.namefind.BilouCodec
createSequenceValidator() - Method in class opennlp.tools.namefind.BioCodec
createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec
createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory: Initializes a TagDictionary from a dictionary file.
createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory: Initializes a TagDictionary from a dictionary stream.
createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory: Initializes a customized TokenContextGenerator via a set of abbreviations.
crosses(Span) - Method in class opennlp.tools.util.Span: Checks if the specified Span crosses this span.
CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval: Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner: Initializes CrossValidationPartitioner instance.
CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner: Initializes CrossValidationPartitioner instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval: The CrossValidationPartitioner.TrainingSampleStream which iterates over all training elements.
currentVersion() - Static method in class opennlp.tools.util.Version
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramCharModel: Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel: Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
CUTOFF_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters
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
CVParams - Interface in opennlp.tools.cmdline.params: Common cross validator parameters.

D

DANISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DataIndexer - Interface in opennlp.tools.ml.model: Represents an indexer which compresses events in memory and performs feature selection.
DataIndexerFactory - Class in opennlp.tools.ml.model: A factory that produces DataIndexer instances.
DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory
DataReader - Interface in opennlp.tools.ml.model: Describes generic ways to read data from a DataInputStream.
DataStream - Interface in opennlp.tools.ml.maxent: An interface for objects which can deliver a stream of training data to be supplied to an EventStream.
DE - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec
decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec
decode(List<T>) - Method in interface opennlp.tools.util.SequenceCodec: Decodes a sequence of objects into Span objects.
decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME: Decodes the lemma from the word and the induced lemma class.
decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil: Reads the predicted Shortest Edit Script (SES) by a lemmatizer model and applies the permutations to obtain the lemma from the wordForm.
DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME
DEFAULT_CHUNK_SIZE - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_LANGUAGE_DETECTOR_CONFIG - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MAX_LENGTH - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_CONSEC_IMPROVEMENTS - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_DIFF - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample: The default type value when there is no type in training data.
defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Class in opennlp.tools.chunker: Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator: Initializes a DefaultChunkerContextGenerator instance.
DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker: The default chunker SequenceValidator implementation.
DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator
DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect: Default implementation of the EndOfSentenceScanner.
DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner: Initializes the current instance.
defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
DefaultLanguageDetectorContextGenerator - Class in opennlp.tools.langdetect: A context generator for language detector.
DefaultLanguageDetectorContextGenerator(int, int, CharSequenceNormalizer...) - Constructor for class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator: Creates a customizable DefaultLanguageDetectorContextGenerator that computes ngrams from text.
DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer: Simple feature generator for learning statistical lemmatizers.
DefaultLemmatizerContextGenerator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer: The default lemmatizer SequenceValidator implementation.
DefaultLemmatizerSequenceValidator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
DefaultNameContextGenerator - Class in opennlp.tools.namefind: A NameContextGenerator implementation for determining contextual features for a tag-chunk style named-entity recognizer.
DefaultNameContextGenerator() - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator: Deprecated.
use DefaultNameContextGenerator(AdaptiveFeatureGenerator...) and always provide one or more feature generators.
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator: Creates a name context generator with the specified feature generators.
defaultParams() - Static method in class opennlp.tools.util.TrainingParameters
DefaultPOSContextGenerator - Class in opennlp.tools.postag: A default context generator for a POSTagger.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator: Initializes a DefaultPOSContextGenerator instance.
DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator: Initializes a DefaultPOSContextGenerator instance.
DefaultPOSSequenceValidator - Class in opennlp.tools.postag: The default POS tagger SequenceValidator implementation.
DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator
DefaultSDContextGenerator - Class in opennlp.tools.sentdetect: Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new SDContextGenerator instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Class in opennlp.tools.tokenize: A default TokenContextGenerator which produces events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator: Initializes a plain DefaultTokenContextGenerator instance.
DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator: Initializes a customized DefaultTokenContextGenerator instance via a set of inducedAbbreviations.
DefinitionFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DefinitionFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
DEGREES_MIN_SEC_LAT_LON - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
DetokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer: A default implementation of EvaluationMonitor that prints to an output stream.
DetokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener: Creates a listener that will print to the configured logger.
DetokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
DetokenizationDictionary - Class in opennlp.tools.tokenize
DetokenizationDictionary(File) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid File.
DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid InputStream.
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance.
DetokenizationDictionary(Path) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid Path.
DetokenizationDictionary.Operation - Enum Class in opennlp.tools.tokenize
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenizes the collection of tokens.
detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenizes the input tokens into a String.
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
Detokenizer - Interface in opennlp.tools.tokenize: A Detokenizer merges tokens back to their detokenized representation.
Detokenizer.DetokenizationOperation - Enum Class in opennlp.tools.tokenize: This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerEvaluator - Class in opennlp.tools.tokenize: The DetokenizerEvaluator measures the performance of the given Detokenizer with the provided reference samples.
DetokenizerEvaluator(Detokenizer, DetokenEvaluationErrorListener...) - Constructor for class opennlp.tools.tokenize.DetokenizerEvaluator: Initializes the current instance with the given Detokenizer.
DetokenizerParameter - Interface in opennlp.tools.cmdline.params
DetokenizerSampleStreamFactory<T,P> - Class in opennlp.tools.formats: Base class for factories which need a Detokenizer.
DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt
DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Constructor for class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream: Initializes a DetokenizeSentenceSampleStream.
DEV_VERSION - Static variable in class opennlp.tools.util.Version
Dictionary - Class in opennlp.tools.dictionary: An iterable and serializable dictionary implementation.
Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary: Initializes an empty Dictionary.
Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary: Initializes an empty Dictionary.
Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary: Initializes the Dictionary from an existing dictionary resource.
DictionaryBuilderTool - Class in opennlp.tools.cmdline.dictionary
DictionaryBuilderTool() - Constructor for class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
DictionaryDetokenizer - Class in opennlp.tools.tokenize: A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer: Initializes a DictionaryDetokenizer instance.
DictionaryDetokenizerTool - Class in opennlp.tools.cmdline.tokenizer
DictionaryDetokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer: A persistor used by for reading and writing dictionaries of all kinds.
DictionaryEntryPersistor() - Constructor for class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen: The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.
DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DictionaryFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
DictionaryLemmatizer - Class in opennlp.tools.lemmatizer: A Lemmatizer implementation that works by simple dictionary lookup into a Map built from a file containing, for each line:
DictionaryLemmatizer(File) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(File, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(InputStream, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(Path) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryNameFinder - Class in opennlp.tools.namefind: This is a Dictionary based name finder.
DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder: Initializes a DictionaryNameFinder with the provided Dictionary and DictionaryNameFinder.DEFAULT_TYPE.
DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder: Initializes a DictionaryNameFinder with the provided Dictionary and a type.
DictionarySerializer - Class in opennlp.tools.util.model: An ArtifactSerializer implementation for dictionaries.
DictionarySerializer() - Constructor for class opennlp.tools.util.model.DictionarySerializer
digits() - Method in class opennlp.tools.util.featuregen.StringPattern: Retrieves the number of digits.
dimension() - Method in interface opennlp.tools.util.wordvector.WordVector
dimension() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
DirectorySampleStream - Class in opennlp.tools.formats: The directory sample stream allows for creating an ObjectStream<File> from a directory listing of files.
DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream: Initializes a DirectorySampleStream.
DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream: Initializes a DirectorySampleStream.
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
DoccatConverterTool - Class in opennlp.tools.cmdline.doccat: Tool to convert multiple data formats into native OpenNLP doccat training format.
DoccatConverterTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatConverterTool
DoccatCrossValidator - Class in opennlp.tools.doccat: Cross validator for DocumentCategorizer.
DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator: Instantiates a DoccatCrossValidator with the given generators.
DoccatCrossValidatorTool - Class in opennlp.tools.cmdline.doccat
DoccatCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
DoccatEvaluationErrorListener - Class in opennlp.tools.cmdline.doccat: A default implementation of EvaluationMonitor that prints to an output stream.
DoccatEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener: Creates a listener that will print to the configured logger.
DoccatEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener: Creates a listener that will print to a given OutputStream
DoccatEvaluationMonitor - Interface in opennlp.tools.doccat: A marker interface for evaluating doccat.
DoccatEvaluatorTool - Class in opennlp.tools.cmdline.doccat: A default DocumentSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
DoccatEvaluatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
DoccatFactory - Class in opennlp.tools.doccat: The factory that provides Doccat default implementations and resources.
DoccatFactory() - Constructor for class opennlp.tools.doccat.DoccatFactory: Instantiates a DoccatFactory that provides the default implementation of the resources.
DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory: Instantiates a DoccatFactory that provides the default implementation of the resources.
DoccatFineGrainedReportListener - Class in opennlp.tools.cmdline.doccat: Generates a detailed report for the POS Tagger.
DoccatFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener: Creates a listener that will print to the configured logger.
DoccatFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener: Creates a listener that prints to a given OutputStream
DoccatModel - Class in opennlp.tools.doccat: A model for document categorization
DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid File.
DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid InputStream.
DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via given parameters.
DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid URL.
DoccatModel(Path) - Constructor for class opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid Path.
DoccatModelLoader - Class in opennlp.tools.cmdline.doccat: Loads a DoccatModel for the command line tools.
DoccatModelLoader() - Constructor for class opennlp.tools.cmdline.doccat.DoccatModelLoader
DoccatTool - Class in opennlp.tools.cmdline.doccat
DoccatTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTool
DoccatTrainerTool - Class in opennlp.tools.cmdline.doccat
DoccatTrainerTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTrainerTool
doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch: Conducts a constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al. 2007)
DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
DOCSTART - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen
DocumentBeginFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
DocumentBeginFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DocumentBeginFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
DocumentCategorizer - Interface in opennlp.tools.doccat: Interface for classes which categorize documents.
DocumentCategorizerEvaluator - Class in opennlp.tools.doccat: The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference samples.
DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator: Initializes a DocumentCategorizerEvaluator instance.
DocumentCategorizerEventStream - Class in opennlp.tools.doccat: Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes a DocumentCategorizerEventStream via samples.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes a DocumentCategorizerEventStream via samples and feature generators.
DocumentCategorizerME - Class in opennlp.tools.doccat: A Max-Ent based implementation of DocumentCategorizer.
DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME: Initializes a DocumentCategorizerME instance with a doccat model.
DocumentNameFinder - Interface in opennlp.tools.namefind: Interface for processing an entire document allowing a TokenNameFinder to use context from the entire document.
DocumentSample - Class in opennlp.tools.doccat: Class which holds a classified document and its category.
DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample: Initializes a instance.
DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample: Initializes a instance.
DocumentSampleStream - Class in opennlp.tools.doccat: Reads in string encoded training samples, parses them and outputs DocumentSample objects.
DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream: Initializes a instance.
DocumentSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP DocumentSampleStreams.
DocumentToLineStream - Class in opennlp.tools.formats.ontonotes: Reads a plain text file and return each line as a String object.
DocumentToLineStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.DocumentToLineStream: Initializes a DocumentToLineStream.
doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch: Conducts a backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p. 37).
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a constituent needs an no additional parent node/building.
doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
DOUBLE - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType
downloadModel(String, DownloadUtil.ModelType, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil: Triggers a download for the specified DownloadUtil.ModelType.
downloadModel(URL, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil: Downloads a model from a URL.
DownloadUtil - Class in opennlp.tools.util: This class facilitates the downloading of pretrained OpenNLP models.
DownloadUtil() - Constructor for class opennlp.tools.util.DownloadUtil
DownloadUtil.ModelType - Enum Class in opennlp.tools.util: The type of model.
dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME: Removes spans with are intersecting or crossing in any way.
DUTCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
DynamicEvalParameters - Class in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters: Creates a set of parameters which can be evaluated with the eval method.

E

EMAIL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A EmojiCharSequenceNormalizer implementation that normalizes text in terms of emojis.
EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect: ObjectStream to clean up empty lines for empty line separated document streams.
- Skips empty line at training data start
- Transforms multiple empty lines in a row into one
- Replaces white space lines with empty lines
- TODO: Terminates last document with empty line if it is missing

This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
EN - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec
encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec: Encodes Span objects into a sequence of objects.
encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME: Encodes the word given its lemmas.
EncodingParameter - Interface in opennlp.tools.cmdline.params: Encoding parameter.
END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
endElement(String, String, String) - Method in class opennlp.tools.formats.masc.MascPennTagParser
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect: Scans CharSequence, StringBuffer, and char[] for the offsets of sentence ending characters.
ENGLISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
ENTITY_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker: EntityLinkers establish connections with external data to enrich extracted entities.
EntityLinkerFactory - Class in opennlp.tools.entitylinker: Generates a EntityLinker instances via a properties file configuration.
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
EntityLinkerProperties - Class in opennlp.tools.entitylinker: Properties wrapper for EntityLinker implementations.
EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a File reference.
EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a InputStream reference.
EntityLinkerTool - Class in opennlp.tools.cmdline.entitylinker
EntityLinkerTool() - Constructor for class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
Entry - Record Class in opennlp.tools.dictionary.serializer: An Entry is a StringList which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Constructor for record class opennlp.tools.dictionary.serializer.Entry: Creates an instance of a Entry record class.
EntryInserter - Interface in opennlp.tools.dictionary.serializer
eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
equals(Object) - Method in class opennlp.tools.dictionary.Dictionary
equals(Object) - Method in record class opennlp.tools.dictionary.serializer.Entry: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink
equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Method in class opennlp.tools.langdetect.Language
equals(Object) - Method in record class opennlp.tools.langdetect.LanguageSample: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Method in class opennlp.tools.ml.maxent.GISModel
equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel
equals(Object) - Method in class opennlp.tools.ml.model.ComparableEvent
equals(Object) - Method in class opennlp.tools.ml.model.ComparablePredicate
equals(Object) - Method in class opennlp.tools.ml.model.Context
equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters
equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior
equals(Object) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
equals(Object) - Method in class opennlp.tools.namefind.NameSample
equals(Object) - Method in class opennlp.tools.ngram.NGramCharModel
equals(Object) - Method in class opennlp.tools.ngram.NGramModel
equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules
equals(Object) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
equals(Object) - Method in class opennlp.tools.parser.Parse
equals(Object) - Method in class opennlp.tools.parser.ParserModel
equals(Object) - Method in class opennlp.tools.postag.POSDictionary
equals(Object) - Method in class opennlp.tools.postag.POSModel
equals(Object) - Method in class opennlp.tools.postag.POSSample
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
equals(Object) - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.greekStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.irishStemmer
equals(Object) - Method in class opennlp.tools.tokenize.TokenizerModel
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
equals(Object) - Method in class opennlp.tools.util.Sequence
equals(Object) - Method in class opennlp.tools.util.Span
equals(Object) - Method in class opennlp.tools.util.StringList
equals(Object) - Method in record class opennlp.tools.util.TokenTag: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.util.Version
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a NaiveBayesModel.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a PerceptronModel.
eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context.
eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context.
eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context.
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel: Evaluates a context.
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context.
eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context.
eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context with the specified context values.
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
EvalitaNameSampleStream - Class in opennlp.tools.formats: Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
EvalParameters - Class in opennlp.tools.ml.model: This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.
EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters
evaluate(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator: Measure quality of the training parameters.
evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<DocumentSample>, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator: Starts the evaluation.
evaluate(ObjectStream<LanguageSample>, int) - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator: Starts the evaluation.
evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator: Starts the evaluation.
evaluate(ObjectStream<Parse>, int) - Method in class opennlp.tools.parser.ParserCrossValidator: Starts the evaluation.
evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator: Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator: Reads all sample objects and evaluates each instance via the Evaluator.evaluateSample(Object) method.
evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator: Evaluates the given reference object.
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
Evaluator<T> - Class in opennlp.tools.util.eval: An abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator
EvaluatorParams - Interface in opennlp.tools.cmdline.params: Common evaluation parameters.
Event - Class in opennlp.tools.ml.model: The context of a decision point during training.
Event(String, CharSequence[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, CharSequence[], float[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event: Instantiates an Event.
EVENT_MODEL_SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_MODEL_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer
EventAnnotation - Class in opennlp.tools.formats.brat
EventModelSequenceTrainer<T> - Interface in opennlp.tools.ml: A specialized Trainer that is based on a 'EventModelSequence' approach.
EventTraceStream - Class in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream: Initializes an EventTraceStream.
EventTrainer - Interface in opennlp.tools.ml: A specialized Trainer that is based on an Event approach.
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
Experimental - Annotation Interface in opennlp.tools.util.java: Indicates that a certain API feature is not stable and might change with a new release.
ExtensionLoader - Class in opennlp.tools.util.ext: The ExtensionLoader is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception in opennlp.tools.util.ext: Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Class in opennlp.tools.util.ext
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
extractArtifactSerializerMappings(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.FeatureGenerator: Extracts features from given text fragments.
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator
extractTags(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag

F

Factory - Class in opennlp.tools.sentdetect.lang
Factory - Class in opennlp.tools.tokenize.lang
Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory
Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory
FeatureGenerator - Interface in opennlp.tools.doccat: Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen: The FeatureGeneratorResourceProvider provides access to the resources available in the model.
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen: This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
FileEventStream - Class in opennlp.tools.ml.model: Class for using a file of events as an event stream.
FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream via a File.
FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream via a Reader.
FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream from the specified file name.
FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream from the specified file name.
FileToByteArraySampleStream - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream: Initializes a FileToByteArraySampleStream.
FileToStringSampleStream - Class in opennlp.tools.formats.convert: Provides the ability to read the contents of files contained in an object stream of files.
FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream: Initializes a FileToStringSampleStream.
FilterObjectStream<S,T> - Class in opennlp.tools.util: Abstract base class for filtering streams.
find(String) - Method in class opennlp.tools.namefind.RegexNameFinder: Finds spans with character indices, rather than word.
find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder
find(String[]) - Method in class opennlp.tools.namefind.NameFinderME
find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder: Finds tokens spans for the specified document of sentences and their tokens.
find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links an entire document of named entities to an external source.
find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links the names that correspond to the tokens[] spans.
FineGrainedEvaluatorParams - Interface in opennlp.tools.cmdline.params: Common evaluation parameters.
FINNISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
FLOAT - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType
FMeasure - Class in opennlp.tools.util.eval: The FMeasure is a utility class for evaluators which measures precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
FRENCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
Function - Interface in opennlp.tools.ml.maxent.quasinewton: Interface for a function.

G

GapLabeler - Interface in opennlp.tools.parser: Represents a labeler for nodes which contain traces so that these traces can be predicted by a Parser.
generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator: Generates nGrams based on a char[] input.
generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator: Creates nGrams separated by the separator param value i.e.
GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_GPE_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream: Generates events for each token in a sentence with the specified outcomes using the specified NameContextGenerator.
generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream: Deprecated.
use the BioCodec implementation of the SequenceValidator instead!
GeneratorFactory - Class in opennlp.tools.util.featuregen: Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory
GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
GenericModelReader - Class in opennlp.tools.ml.model: An generic AbstractModelReader implementation.
GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader: Initializes a GenericModelReader via a File.
GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader: Initializes a GenericModelReader via a DataReader.
GenericModelSerializer - Class in opennlp.tools.util.model: An ArtifactSerializer implementation for models.
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
GenericModelWriter - Class in opennlp.tools.ml.model: An generic AbstractModelWriter implementation.
GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter: Initializes a GenericModelWriter for an AbstractModel with an associated DataOutputStream the model shall be written to.
GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter: Initializes a GenericModelWriter for an AbstractModel with an associated File the model shall be written to.
GERMAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
get() - Method in class opennlp.tools.ml.naivebayes.LogProbability
get() - Method in class opennlp.tools.ml.naivebayes.Probability
get(String) - Method in interface opennlp.tools.util.wordvector.WordVectorTable
get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory
getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel
getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel
getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator: accuracy = correctly categorized documents / total documents
getAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
getAdditionalContext() - Method in class opennlp.tools.postag.POSSample
getAdditionalData() - Method in record class opennlp.tools.util.TokenTag: Deprecated, for removal: This API element is subject to removal in a future version.
getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer
getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel: Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the name of the category associated with the given probabilities.
getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory: Gets the alphanumeric pattern for a language.
getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory
getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument
getAnnotations() - Method in class opennlp.tools.formats.brat.BratDocument
getArg1() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArg2() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArguments() - Method in class opennlp.tools.formats.brat.EventAnnotation
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel
getArtifactSerializerClass() - Method in class opennlp.tools.dictionary.Dictionary
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.en.HeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSDictionary
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSModel
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.BrownCluster
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact: Retrieves the class which can serialize and recreate this artifact.
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
getAsDouble(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAsFloat(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAttachedId() - Method in class opennlp.tools.formats.brat.AnnotatorNoteAnnotation
getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
getAttributes() - Method in record class opennlp.tools.dictionary.serializer.Entry: Deprecated, for removal: This API element is subject to removal in a future version.
getBase() - Method in class opennlp.tools.formats.masc.MascToken
getBases() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the best category from previously generated outcome probabilities
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel: Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the outcome associated with the index containing the highest probability in the double[].
getBool(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
getCachedFeatureGenerator() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the category at a given index.
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
getChildCount() - Method in class opennlp.tools.parser.Parse
getChildren() - Method in class opennlp.tools.parser.Parse
getChunkerModel() - Method in class opennlp.tools.chunker.ChunkerModel: Deprecated.
use ChunkerModel.getChunkerSequenceModel() instead. This method will be removed soon.
getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel
getChunkSize() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig: After processing a chunk of this size, the probing detection will compute probabilities and determine if there is enough confidence to stop.
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse: Returns the deepest shared parent of this node and the specified node.
getConfidence() - Method in class opennlp.tools.langdetect.Language
getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getConfig() - Method in class opennlp.tools.formats.brat.BratDocument
getContext() - Method in record class opennlp.tools.langdetect.LanguageSample: Deprecated, for removal: This API element is subject to removal in a future version.
getContext() - Method in class opennlp.tools.ml.model.Event
getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator: Finds the context for finding names at the specified index.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator: Deprecated.
Use ChunkContextGenerator.getContext(int, String[], String[], String[]) instead.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator: Retrieves the contexts for chunking of the specified idx.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator: Returns the contexts for lemmatizing of the specified index.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, String[], String[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator: Returns the context for the specified position in the specified sequence (list).
getContext(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator: Retrieves the contexts for a document using character ngrams.
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator: Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(Object) - Method in class opennlp.tools.parser.ChunkContextGenerator: Deprecated.
Use ChunkContextGenerator.getContext(int, String[], String[], String[]) instead.
getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator: Finds the predictive context used to determine how constituent at the specified index should be combined with other constituents.
getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator: Finds the contexts/features for the decision to build a new constituent for the specified parse at the specified index.
getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator: Finds the predictive contextual features about an attachment.
getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator: Finds predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.
getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator: Finds the predictive context used to determine how constituent at the specified index should be combined with a parent constituent.
getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator: Builds up the list of contextual predicates given an object.
getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory
getContextGenerator() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
getContextGenerator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getContextGenerator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory
getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer
getCount(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel: Retrieves the count of the given ngram.
getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel: Retrieves the count of the given ngram.
getCoveredText() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getCoveredText() - Method in class opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span
getCurrent() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer: Get the current string.
getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer
getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams
getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory: Instantiates a DataIndexer configured via TrainingParameters.
getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel: Provides the fundamental data structures which encode the maxent model information.
getDataType() - Method in interface opennlp.tools.util.wordvector.WordVector
getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory: Allows for use of selected Defaults as well as regexes from external configuration.
getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory: Retrieves a RegexNameFinder that will utilize specified default regexes.
getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getDerivation() - Method in class opennlp.tools.parser.Parse
getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory: Provides a list with all the elements in the xml feature descriptor.
getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter
getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
getDimension() - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample
getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator
getDocumentAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator
getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
getDocumentId() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getDouble(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser: Parse a tree element from a AD line
getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter
getEnd() - Method in class opennlp.tools.util.Span: Note: that the returned index is one past the actual end of the span in the text, or the first element past the end of the span.
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEntityIDsToTokens() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser
getEntityIDtoEntityType() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
getEOSCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEOSCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory: Retrieves an EventModelSequenceTrainer that fits the given parameters.
getEvents() - Method in class opennlp.tools.ml.model.Sequence
getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory: Retrieves an EventTrainer that fits the given parameters.
getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation
getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample
getFactory() - Method in class opennlp.tools.chunker.ChunkerModel
getFactory() - Method in class opennlp.tools.doccat.DoccatModel
getFactory() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getFactory() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getFactory() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getFactory() - Method in class opennlp.tools.postag.POSModel
getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
getFctEvalCount() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFeats() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getFloat(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFloat(String, float) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
getFMeasure() - Method in class opennlp.tools.parser.ParserCrossValidator
getFMeasure() - Method in class opennlp.tools.parser.ParserEvaluator
getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.DetokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure: f-measure = 2 * precision * recall / (precision + recall).
getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams
getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getFuncChangeRate() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Retrieves a Collections of all aggregated 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
getHead() - Method in class opennlp.tools.parser.Parse
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules: Retrieves the head constituent for the specified constituents of given type.
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHeadIndex() - Method in class opennlp.tools.parser.Parse
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
getHelp() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getHelp() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getHelp() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getHelp() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getHelp() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getHelp() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getHelp() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getHelp() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getHelp() - Method in class opennlp.tools.cmdline.parser.ParserTool
getHelp() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getHelp() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getHelp() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getId() - Method in class opennlp.tools.formats.brat.BratAnnotation
getId() - Method in class opennlp.tools.formats.brat.BratDocument
getId() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getId() - Method in class opennlp.tools.formats.masc.MascWord
getId() - Method in class opennlp.tools.namefind.NameSample
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the index of a certain category.
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel
getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the index associated with the String name of the given outcome.
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
getInitialObject(double, double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Initial linear search object.
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
getInt(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getInt(String, int) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getItemID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemName() - Method in class opennlp.tools.entitylinker.BaseLink
getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemType() - Method in class opennlp.tools.entitylinker.BaseLink
getIterations() - Method in class opennlp.tools.ml.AbstractTrainer
getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability
getLabel() - Method in class opennlp.tools.parser.Constituent: Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse: Retrieves the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLabelComparator(Map<String, FineGrainedReportListener.Counter>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getLang() - Method in interface opennlp.tools.cmdline.params.LanguageParams
getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory
getLang() - Method in class opennlp.tools.langdetect.Language
getLanguage() - Method in record class opennlp.tools.langdetect.LanguageSample: Deprecated, for removal: This API element is subject to removal in a future version.
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider
getLanguage() - Method in class opennlp.tools.util.model.BaseModel
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory
getLanguages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Deprecated, for removal: This API element is subject to removal in a future version.
getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample
getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getLength() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Deprecated, for removal: This API element is subject to removal in a future version.
getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan
getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory: Retrieves a EntityLinker instance matching the properties configuration.
getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory: Retrieves a EntityLinker instance matching the properties configuration.
getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLog() - Method in class opennlp.tools.ml.naivebayes.Probability
getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getLong(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getLong(String, long) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getMajor() - Method in class opennlp.tools.util.Version
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel
getMatchingPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder
getMatrixLabelComparator(Map<String, FineGrainedReportListener.ConfusionMatrixLine>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMaxentModel() - Method in class opennlp.tools.doccat.DoccatModel
getMaxentModel() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMaxTokenLength() - Method in class opennlp.tools.tokenize.WordpieceTokenizer
getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMetadata() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getMinConsecImprovements() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig: If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinDiff()
getMinDiff() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig: If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinConsecImprovements()
getMinor() - Method in class opennlp.tools.util.Version
getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams
getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams
getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
getModelType() - Method in class opennlp.tools.ml.model.AbstractModel
getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getName() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getName() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getNameCounters() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getNamedEntities() - Method in class opennlp.tools.formats.masc.MascSentence
getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getNames() - Method in class opennlp.tools.namefind.NameSample
getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse
getNGrams(String[], int) - Static method in class opennlp.tools.ngram.NGramUtils: Get the ngrams of dimension n of a certain input sequence of tokens.
getNGrams(StringList, int) - Static method in class opennlp.tools.ngram.NGramUtils: Get the ngrams of dimension n of a certain input sequence of tokens.
getNMinusOneTokenFirst(StringList) - Static method in class opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
getNMinusOneTokenLast(StringList) - Static method in class opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
getNonTokenizedText() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getNote() - Method in class opennlp.tools.formats.brat.BratAnnotation
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer: Retrieves the number of categories.
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer
getNumOutcomes() - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters
getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel
getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer
getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters
getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters
getOntoNotesDir() - Method in interface opennlp.tools.formats.ontonotes.OntoNotesFormatParameters
getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME
getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME
getOriginal() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getOutcome() - Method in class opennlp.tools.ml.model.Event
getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel
getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel: Retrieves the String name of the outcome associated with the index i.
getOutcome(int) - Method in class opennlp.tools.util.Sequence
getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomes() - Method in class opennlp.tools.ml.BeamSearch
getOutcomes() - Method in class opennlp.tools.ml.model.Context
getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
getOutcomes() - Method in class opennlp.tools.util.Sequence
getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getParagraphId() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getParameters() - Method in class opennlp.tools.ml.model.Context
getParameters(String) - Method in class opennlp.tools.util.TrainingParameters
getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getParams() - Method in class opennlp.tools.ml.model.EvalParameters
getParent() - Method in class opennlp.tools.parser.Parse
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
getParserType() - Method in class opennlp.tools.parser.ParserModel
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample
getPos() - Method in class opennlp.tools.formats.masc.MascToken
getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory
getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory
getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans cbuf for sentence ending characters and returns their offsets.
getPositions(CharSequence) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(CharSequence) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans buf for sentence ending characters and returns their offsets.
getPosModel() - Method in class opennlp.tools.postag.POSModel: Deprecated.
use POSModel.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
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure
getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer
getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getPreds() - Method in class opennlp.tools.chunker.ChunkSample
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.util.Span
getProb(int) - Method in class opennlp.tools.util.Sequence
getProbs() - Method in class opennlp.tools.util.Sequence
getProbs(double[]) - Method in class opennlp.tools.util.Sequence: Populates an array with the probabilities associated with the Sequence outcomes.
getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties: Retrieves a property value for a given key.
getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getQuarks() - Method in class opennlp.tools.formats.masc.MascToken
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure
getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getReportOutputFile() - Method in interface opennlp.tools.cmdline.params.FineGrainedEvaluatorParams
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
getResultBuffer() - Method in class opennlp.tools.stemmer.PorterStemmer: Returns a reference to a character buffer containing the results of the stemming process.
getResultLength() - Method in class opennlp.tools.stemmer.PorterStemmer: Returns the length of the word resulting from the stemming process.
getRevision() - Method in class opennlp.tools.util.Version
getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser: Returns the right frontier of the specified tree with nodes ordered from deepest to shallowest.
getRoot() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getScore() - Method in class opennlp.tools.util.Sequence
getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getSegments() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
getSentDetectText() - Method in class opennlp.tools.formats.masc.MascSentence
getSentence() - Method in class opennlp.tools.chunker.ChunkSample
getSentence() - Method in class opennlp.tools.namefind.NameSample
getSentence() - Method in class opennlp.tools.postag.POSSample
getSentenceCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSentenceIdComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME: Returns the probabilities associated with the most recent calls to SentenceDetectorME.sentDetect(CharSequence).
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
getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory: Retrieves a SequenceTrainer that fits the given parameters.
getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getSequenceValidator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getSize() - Method in class opennlp.tools.util.Sequence
getSource() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getSource() - Method in class opennlp.tools.ml.model.Sequence: This object is used when the events for this sequence need to be re-derived such as in a call to SequenceStream.updateContext(Sequence, AbstractModel).
getSpan() - Method in class opennlp.tools.parser.Constituent: Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse
getSpans() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getSpanType() - Method in class opennlp.tools.namefind.RegexNameFinder
getStart() - Method in class opennlp.tools.util.Span
getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getStr(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector
getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME
getSurface() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getTag() - Method in record class opennlp.tools.util.TokenTag: Deprecated, for removal: This API element is subject to removal in a future version.
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
getTagNodes() - Method in class opennlp.tools.parser.Parse
getTags() - Method in class opennlp.tools.chunker.ChunkSample
getTags() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getTags() - Method in class opennlp.tools.formats.masc.MascSentence
getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTags() - Method in class opennlp.tools.postag.POSSample
getTags(String) - Method in class opennlp.tools.postag.POSDictionary: Returns a list of valid tags for the specified word.
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary: Retrieves a list of valid tags for the specified word.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream: Retrieves the ObjectStream over the test/evaluations elements and poisons this CrossValidationPartitioner.TrainingSampleStream.
getText() - Method in class opennlp.tools.doccat.DocumentSample
getText() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getText() - Method in class opennlp.tools.formats.brat.BratDocument
getText() - Method in class opennlp.tools.parser.Parse
getText() - Method in class opennlp.tools.tokenize.TokenSample
getTextComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getTextLang() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getToken() - Method in record class opennlp.tools.util.TokenTag: Deprecated, for removal: This API element is subject to removal in a future version.
getToken(int) - Method in class opennlp.tools.util.StringList
getTokenCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getTokenId() - Method in class opennlp.tools.formats.masc.MascToken
getTokenNodes() - Method in class opennlp.tools.parser.Parse
getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME
getTokens() - Method in record class opennlp.tools.dictionary.serializer.Entry: Deprecated, for removal: This API element is subject to removal in a future version.
getTokens() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokens() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTokenSample() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample
getTokensSpans() - Method in class opennlp.tools.formats.masc.MascSentence: Retrieves the boundaries of individual tokens.
getTokenStrings() - Method in class opennlp.tools.formats.masc.MascSentence
getTokenText() - Method in class opennlp.tools.formats.masc.MascSentence
getTokenToQuarks() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory: Determines the TrainerFactory.TrainerType based on the AbstractTrainer.ALGORITHM_PARAM value.
getTranslation() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTranslit() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getType() - Method in class opennlp.tools.formats.brat.BratAnnotation
getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getType() - Method in class opennlp.tools.parser.Parse
getType() - Method in class opennlp.tools.util.Span
getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration
getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getValue() - Method in class opennlp.tools.util.MutableInt
getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes: Retrieves the value for the given key or null if attribute it not set.
getValueAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValueAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getValues() - Method in interface opennlp.tools.ml.model.DataIndexer
getValues() - Method in class opennlp.tools.ml.model.Event
getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer
getVersion() - Method in class opennlp.tools.util.model.BaseModel
getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator: Accuracy is defined as: word accuracy = correctly detected tags / total words
getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator: Accuracy defined as: word accuracy = correctly detected tags / total words
getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
getWordClasses(String, BrownCluster) - Static method in class opennlp.tools.util.featuregen.BrownTokenClasses: It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.
getWordCount() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
getWordCount() - Method in class opennlp.tools.postag.POSEvaluator
getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
getWordLines() - Method in class opennlp.tools.formats.conllu.ConlluSentence
GISModel - Class in opennlp.tools.ml.maxent: A maximum entropy model which has been trained using the Generalized Iterative Scaling (GIS) procedure.
GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel: Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel: Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Class in opennlp.tools.ml.maxent.io: The base class for readers of GIS models.
GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader: Initializes a GISModelReader via a File.
GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader: Initializes a GISModelReader via a DataReader.
GISModelWriter - Class in opennlp.tools.ml.maxent.io: The base class for writers of GIS models.
GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter: Initializes a GISModelWriter for a GIS model.
GISTrainer - Class in opennlp.tools.ml.maxent: An implementation of Generalized Iterative Scaling (GIS).
GISTrainer() - Constructor for class opennlp.tools.ml.maxent.GISTrainer: Initializes a GISTrainer.
Glove - Class in opennlp.tools.util.wordvector: GloVe is an unsupervised learning algorithm for obtaining vector representations for words.
gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood: Computes the gradient.
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood: Computes the gradient.
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
GREEK - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
greekStemmer - Class in opennlp.tools.stemmer.snowball: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
greekStemmer() - Constructor for class opennlp.tools.stemmer.snowball.greekStemmer

H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample
hashCode() - Method in class opennlp.tools.dictionary.Dictionary
hashCode() - Method in record class opennlp.tools.dictionary.serializer.Entry: Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.doccat.DocumentSample
hashCode() - Method in class opennlp.tools.entitylinker.BaseLink
hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan
hashCode() - Method in class opennlp.tools.langdetect.Language
hashCode() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample
hashCode() - Method in class opennlp.tools.ml.maxent.GISModel
hashCode() - Method in class opennlp.tools.ml.model.AbstractModel
hashCode() - Method in class opennlp.tools.ml.model.ComparableEvent
hashCode() - Method in class opennlp.tools.ml.model.ComparablePredicate
hashCode() - Method in class opennlp.tools.ml.model.Context
hashCode() - Method in class opennlp.tools.ml.model.EvalParameters
hashCode() - Method in class opennlp.tools.ml.model.UniformPrior
hashCode() - Method in class opennlp.tools.ml.perceptron.PerceptronModel
hashCode() - Method in class opennlp.tools.namefind.NameSample
hashCode() - Method in class opennlp.tools.ngram.NGramCharModel
hashCode() - Method in class opennlp.tools.ngram.NGramModel
hashCode() - Method in class opennlp.tools.parser.lang.en.HeadRules
hashCode() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
hashCode() - Method in class opennlp.tools.parser.Parse
hashCode() - Method in class opennlp.tools.parser.ParserModel
hashCode() - Method in class opennlp.tools.postag.POSDictionary
hashCode() - Method in class opennlp.tools.postag.POSModel
hashCode() - Method in class opennlp.tools.postag.POSSample
hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample
hashCode() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.greekStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
hashCode() - Method in class opennlp.tools.tokenize.TokenizerModel
hashCode() - Method in class opennlp.tools.tokenize.TokenSample
hashCode() - Method in class opennlp.tools.util.Sequence
hashCode() - Method in class opennlp.tools.util.Span
hashCode() - Method in class opennlp.tools.util.StringList
hashCode() - Method in record class opennlp.tools.util.TokenTag: Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.util.Version
HashSumEventStream - Class in opennlp.tools.ml.model: A hash sum based AbstractObjectStream implementation.
HashSumEventStream(ObjectStream<Event>) - Constructor for class opennlp.tools.ml.model.HashSumEventStream
hasNamedEntities() - Method in class opennlp.tools.formats.masc.MascDocument: Checks whether there is NER by GATE-5.0 ANNIE.
hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream: Test whether there are any events remaining in this DataStream.
hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner: Checks if there are more partitions available.
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
hasParams() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
hasPennTags() - Method in class opennlp.tools.formats.masc.MascDocument: Checks whether there is Penn tagging produced by GATE-5.0 ANNIE.
HeadRules - Class in opennlp.tools.parser.lang.en: Class for storing the English HeadRules associated with parsing.
HeadRules - Interface in opennlp.tools.parser: Encoder for head rules associated with parsing.
HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules: Creates a new set of head rules based on the specified reader.
HeadRules(String) - Constructor for class opennlp.tools.parser.lang.en.HeadRules: Deprecated.
Use HeadRules(Reader) instead.
HeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.en
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
HUNGARIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys: Property key for the unique id which identifies an OpenNLP extension service.
INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The label for the top if an incomplete node.
INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is incomplete.
increment() - Method in class opennlp.tools.util.MutableInt: Adds 1 to the curren value.
index(ObjectStream<Event>) - Method in interface opennlp.tools.ml.model.DataIndexer: Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer: Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer: Performs the data indexing.
Index - Class in opennlp.tools.dictionary: This classes indexes string lists.
Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index: Initializes an Index with the given Iterator over StringList elements.
indexOf(Parse) - Method in class opennlp.tools.parser.Parse
INDONESIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
indonesianStemmer - Class in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
indonesianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.indonesianStemmer
init() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker: Initializes an EntityLinker and allows for passing properties through the EntityLinkerFactory into all impls dynamically.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.commons.Trainer: Conducts the initialization of an Trainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer: Initializes a AbstractTrainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.GISTrainer: Initializes a AbstractTrainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer: Sets parameters used during the data indexing.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer: Sets parameters used during the data indexing.
INITIAL_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.ArrayMath
InputStreamFactory - Interface in opennlp.tools.util: Allows repeated reads through a stream for certain model building types.
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
insert(Parse) - Method in class opennlp.tools.parser.Parse: Inserts the specified constituent into this parse based on its text span.
InSpanGenerator - Class in opennlp.tools.util.featuregen: Generates features if the tokens are recognized by the provided TokenNameFinder.
InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator: Initializes a InSpanGenerator instance.
INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer: Use this static reference to retrieve an instance of the SimpleTokenizer.
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer: Use this static reference to retrieve an instance of the WhitespaceTokenizer.
instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader: Instantiates a user provided extension to OpenNLP.
instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory: Initializes a SequenceCodec instance via given parameters.
InsufficientTrainingDataException - Exception in opennlp.tools.util: This exception indicates that the provided training data is insufficient to train a desired model.
InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
Internal - Annotation Interface in opennlp.tools.commons: Classes, fields, or methods annotated @Internal are for OpenNLP internal use only.
intersects(Span) - Method in class opennlp.tools.util.Span: Checks if the specified Span intersects with this span.
InvalidFormatException - Exception in opennlp.tools.util: This exception indicates that a resource violates the expected data format.
InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes the Inverse L2-norm for a vector v.
IRISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
IrishSentenceBankDocument - Class in opennlp.tools.formats.irishsentencebank: A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.
IrishSentenceBankDocument() - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument: Initializes an empty IrishSentenceBankDocument.
IrishSentenceBankDocument.IrishSentenceBankFlex - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankDocument.IrishSentenceBankSentence - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankFlex(String, String[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
IrishSentenceBankSentence(String, String, String, Span[], IrishSentenceBankDocument.IrishSentenceBankFlex[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
IrishSentenceBankSentenceStreamFactory - Class in opennlp.tools.formats.irishsentencebank
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
isAllHiragana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllKatakana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary
isCaseSensitive() - Method in interface opennlp.tools.postag.TagDictionary: Whether the dictionary is case-sensitive or not.
isChunk() - Method in class opennlp.tools.parser.Parse
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil
isFlat() - Method in class opennlp.tools.parser.Parse: Indicates whether this parse node contains no sub-constituents.
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability
isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability: Checks if a probability is greater than the old one.
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider: Indicates if this provider was loaded from a serialized form.
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
isNewDocument() - Method in class opennlp.tools.formats.conllu.ConlluSentence
isNewParagraph() - Method in class opennlp.tools.formats.conllu.ConlluSentence
isPosTag() - Method in class opennlp.tools.parser.Parse: Indicates whether this parse node is a pos-tag.
isSnapshot() - Method in class opennlp.tools.util.Version
isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.GISTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
isUseAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerFactory
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
isValid(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil: Determines if the specified Character is a whitespace.
isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil: Determines if the specified Character is a whitespace.
IT - Enum constant in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
ITALIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
ITERATIONS_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters
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
iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes: Iterates over the keys.
iterator() - Method in class opennlp.tools.ngram.NGramCharModel: Retrieves an Iterator over all entries.
iterator() - Method in class opennlp.tools.ngram.NGramModel: Retrieves an Iterator over all StringList entries.
iterator() - Method in class opennlp.tools.postag.POSDictionary: Retrieves an Iterator over all words in the dictionary.
iterator() - Method in class opennlp.tools.util.StringList

J

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

L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
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.ArrayMath: Computes the L1-norm for a vector v.
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.ArrayMath: Computes the L2-norm for a vector v.
L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler: Labels constituents found in the stack with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
language() - Method in record class opennlp.tools.langdetect.LanguageSample: Returns the value of the language record component.
Language - Class in opennlp.tools.langdetect: Class for holding the document language and its confidence
Language(String) - Constructor for class opennlp.tools.langdetect.Language
Language(String, double) - Constructor for class opennlp.tools.langdetect.Language
LanguageDetector - Interface in opennlp.tools.langdetect: The interface for LanguageDetector which predicts the Language for a context.
LanguageDetectorConfig - Class in opennlp.tools.langdetect
LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig
LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect: A context generator interface for LanguageDetector.
LanguageDetectorConverterTool - Class in opennlp.tools.cmdline.langdetect: Tool to convert multiple data formats into native OpenNLP language detection training format.
LanguageDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorConverterTool
LanguageDetectorCrossValidator - Class in opennlp.tools.langdetect: Cross validator for LanguageDetector.
LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorCrossValidator: Initializes a LanguageDetectorCrossValidator with the given parameters.
LanguageDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
LanguageDetectorEvaluationErrorListener - Class in opennlp.tools.cmdline.langdetect: A default implementation of EvaluationMonitor that prints to an output stream.
LanguageDetectorEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener: Creates a listener that will print to the configured logger.
LanguageDetectorEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener: Creates a listener that will print to a given OutputStream
LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect: A marker interface for evaluating language detectors.
LanguageDetectorEvaluator - Class in opennlp.tools.langdetect: The LanguageDetectorEvaluator measures the performance of the given LanguageDetector with the provided reference LanguageSamples.
LanguageDetectorEvaluator(LanguageDetector, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEvaluator: Initializes an instance to evaluate a LanguageDetector.
LanguageDetectorEvaluatorTool - Class in opennlp.tools.cmdline.langdetect: A default LanguageSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
LanguageDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
LanguageDetectorEventStream - Class in opennlp.tools.langdetect: Iterator-like class for modeling an event stream of samples.
LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEventStream: Initializes an instance via samples and feature generators.
LanguageDetectorFactory - Class in opennlp.tools.langdetect: Default factory used by LanguageDetector.
LanguageDetectorFactory() - Constructor for class opennlp.tools.langdetect.LanguageDetectorFactory
LanguageDetectorFineGrainedReportListener - Class in opennlp.tools.cmdline.langdetect: Generates a detailed report for the POS Tagger.
LanguageDetectorFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener: Creates a listener that will print to System.err
LanguageDetectorFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener: Creates a listener that prints to a given OutputStream
LanguageDetectorME - Class in opennlp.tools.langdetect: Implements a learnable LanguageDetector.
LanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.LanguageDetectorME: Initializes an instance with a specific LanguageDetectorModel.
LanguageDetectorModel - Class in opennlp.tools.langdetect: The LanguageDetectorModel is the model used by a learnable LanguageDetector.
LanguageDetectorModel(File) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid File.
LanguageDetectorModel(InputStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid InputStream.
LanguageDetectorModel(URL) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid URL.
LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via given parameters.
LanguageDetectorModelLoader - Class in opennlp.tools.cmdline.langdetect: Loads a LanguageDetectorModel for the command line tools.
LanguageDetectorModelLoader() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorModelLoader
LanguageDetectorSampleStream - Class in opennlp.tools.langdetect: This class reads in string encoded training samples, parses them and outputs LanguageSample objects.
LanguageDetectorSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.langdetect.LanguageDetectorSampleStream: Initializes a instance.
LanguageDetectorSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP DocumentSampleStreams.
LanguageDetectorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
LanguageDetectorTrainerTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
LanguageModel - Interface in opennlp.tools.languagemodel: A language model can calculate the probability p (between 0 and 1) of a certain sequence of tokens, given its underlying vocabulary.
LanguageParams - Interface in opennlp.tools.cmdline.params
languages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Returns the value of the languages record component.
LanguageSample - Record Class in opennlp.tools.langdetect: Holds a classified document and its Language.
LanguageSample(Language, CharSequence) - Constructor for record class opennlp.tools.langdetect.LanguageSample: Creates an instance of a LanguageSample record class.
LanguageSampleStreamFactory<T,P> - Class in opennlp.tools.formats: Stream factory for those streams which carry language.
LAST - Static variable in class opennlp.tools.namefind.BilouCodec
Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
LeipzigLanguageSampleStream - Class in opennlp.tools.formats.leipzig
LeipzigLanguageSampleStream(File, int, int) - Constructor for class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream: Initializes a LeipzigLanguageSampleStream.
LeipzigLanguageSampleStreamFactory - Class in opennlp.tools.formats.leipzig: Note: Do not use this class, internal use only!
LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
LemmaEvaluationErrorListener - Class in opennlp.tools.cmdline.lemmatizer: A default implementation of EvaluationMonitor that prints to an output stream.
LemmaEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener: Creates a listener that will print to the configured logger.
LemmaEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener: Creates a listener that will print to a given OutputStream
LemmaSample - Class in opennlp.tools.lemmatizer: Represents a lemmatized sentence.
LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
LemmaSampleEventStream - Class in opennlp.tools.lemmatizer: Class for creating an event stream out of data files for training a probabilistic Lemmatizer.
LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleEventStream: Creates a new event stream based on the specified data stream using a LemmatizerContextGenerator.
LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer: A SequenceStream implementation encapsulating samples.
LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
LemmaSampleStream - Class in opennlp.tools.lemmatizer: Reads data for training and testing the Lemmatizer.
LemmaSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleStream: Initializes a instance.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates lemmas for the word and postag.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates lemma tags for the word and postag.
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME
Lemmatizer - Interface in opennlp.tools.lemmatizer: The common interface for lemmatizers.
LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer: Interface for the context generator used for probabilistic Lemmatizer.
LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer: A marker interface for evaluating lemmatizers.
LemmatizerEvaluator - Class in opennlp.tools.lemmatizer: The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference samples.
LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator: Initializes a LemmatizerEvaluator instance with the given Lemmatizer.
LemmatizerEvaluatorTool - Class in opennlp.tools.cmdline.lemmatizer: A default LemmaSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
LemmatizerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
LemmatizerFactory - Class in opennlp.tools.lemmatizer: The factory that provides Lemmatizer default implementation and resources.
LemmatizerFactory() - Constructor for class opennlp.tools.lemmatizer.LemmatizerFactory: Instantiates a LemmatizerFactory that provides the default implementation of the resources.
LemmatizerFineGrainedReportListener - Class in opennlp.tools.cmdline.lemmatizer: Generates a detailed report for the Lemmatizer.
LemmatizerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener: Creates a listener that will print to the configured logger.
LemmatizerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener: Creates a listener that prints to a given OutputStream
LemmatizerME - Class in opennlp.tools.lemmatizer: A probabilistic Lemmatizer implementation.
LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME: Initializes a LemmatizerME with the provided model and a default beam size of 3.
LemmatizerMETool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerMETool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
LemmatizerModel - Class in opennlp.tools.lemmatizer: The LemmatizerModel is the model used by a learnable Lemmatizer.
LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid File.
LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid InputStream.
LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, SequenceClassificationModel<String>, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid URL.
LemmatizerModel(Path) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid Path.
LemmatizerModelLoader - Class in opennlp.tools.cmdline.lemmatizer: Loads a LemmatizerModel for the command line tools.
LemmatizerModelLoader() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerModelLoader
LemmatizerSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP LemmaSampleStreams.
LemmatizerTrainerTool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerTrainerTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
length() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult: Returns the value of the length record component.
length() - Method in class opennlp.tools.util.Span
LetsmtDocument - Class in opennlp.tools.formats.letsmt: A structure to hold the letsmt document.
LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt: A content handler to receive and process SAX events.
LetsmtDocument.LetsmtSentence - Class in opennlp.tools.formats.letsmt
LetsmtDocumentHandler() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
LetsmtSentence() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
LetsmtSentenceStreamFactory - Class in opennlp.tools.formats.letsmt
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: Represents a LineSearch result.
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
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Constructor
LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker: A default, extended Span that holds additional information about a Span.
LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan via an existing Span which is shifted by the specified offset.
loadResources(File, File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool: Load the resources, such as dictionaries, by reading the feature xml descriptor and looking into the directory passed as argument.
LOG_LIKELIHOOD_THRESHOLD_DEFAULT - Static variable in class opennlp.tools.ml.maxent.GISTrainer
LOG_LIKELIHOOD_THRESHOLD_PARAM - Static variable in class opennlp.tools.ml.maxent.GISTrainer
LogPrintStream - Class in opennlp.tools.log: This class serves as an adapter for a Logger used within a PrintStream.
LogPrintStream(Logger) - Constructor for class opennlp.tools.log.LogPrintStream: Creates a LogPrintStream for the given Logger.
LogPrintStream(Logger, Level) - Constructor for class opennlp.tools.log.LogPrintStream: Creates a LogPrintStream for the given Logger, which logs at the specified level.
logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], Context[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Class in opennlp.tools.ml.naivebayes: A class implementing the logarithmic Probability for a label.
LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability
logSumOfExps(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.BrownCluster: Check if a token is in the Brown:paths, token map.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

M

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
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: Initializes a MarkableFileInputStreamFactory.
MASC_FORMAT - Static variable in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
MASC_FORMAT - Static variable in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory
MASC_FORMAT - Static variable in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
MASC_FORMAT - Static variable in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory
MascDocument - Class in opennlp.tools.formats.masc
MascDocument(String, List<MascSentence>) - Constructor for class opennlp.tools.formats.masc.MascDocument
MascDocumentStream - Class in opennlp.tools.formats.masc
MascDocumentStream(File) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream
MascDocumentStream(File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream: Creates a MascDocumentStream to read the documents from a given directory.
MascNamedEntityParser - Class in opennlp.tools.formats.masc: A class to process the MASC Named entity stand-off annotation file
MascNamedEntityParser() - Constructor for class opennlp.tools.formats.masc.MascNamedEntityParser
MascNamedEntitySampleStream - Class in opennlp.tools.formats.masc
MascNamedEntitySampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascNamedEntitySampleStream: Initializes MascNamedEntitySampleStream from a stream of documents.
MascNamedEntitySampleStreamFactory - Class in opennlp.tools.formats.masc
MascPennTagParser - Class in opennlp.tools.formats.masc: A class for parsing MASC's Penn tagging/tokenization stand-off annotation
MascPennTagParser() - Constructor for class opennlp.tools.formats.masc.MascPennTagParser
MascPOSSampleStream - Class in opennlp.tools.formats.masc
MascPOSSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascPOSSampleStream: Initializes MascPOSSampleStream from a stream of documents.
MascPOSSampleStreamFactory - Class in opennlp.tools.formats.masc
MascSentence - Class in opennlp.tools.formats.masc
MascSentence(int, int, String, List<MascWord>, List<MascWord>) - Constructor for class opennlp.tools.formats.masc.MascSentence: Initializes a MascSentence containing its associated text and quarks
MascSentenceSampleStream - Class in opennlp.tools.formats.masc
MascSentenceSampleStream(ObjectStream<MascDocument>, int) - Constructor for class opennlp.tools.formats.masc.MascSentenceSampleStream
MascSentenceSampleStreamFactory - Class in opennlp.tools.formats.masc
MascToken - Class in opennlp.tools.formats.masc: A specialized Span to express tokens in documents.
MascToken(int, int, int, String, String, MascWord[]) - Constructor for class opennlp.tools.formats.masc.MascToken: Initializes a MascToken which may combine multiple quarks.
MascTokenSampleStream - Class in opennlp.tools.formats.masc
MascTokenSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascTokenSampleStream: Initializes a MascTokenSampleStream.
MascTokenSampleStreamFactory - Class in opennlp.tools.formats.masc
MascWord - Class in opennlp.tools.formats.masc
MascWord(int, int, int) - Constructor for class opennlp.tools.formats.masc.MascWord: Holds one of MASC's quarks, that is: basic-level units (may be sub-word).
max(double[]) - Static method in class opennlp.tools.ml.ArrayMath: Finds the maximum element in a vector x.
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
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 - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
MAXENT - Enum constant in enum class opennlp.tools.util.model.ModelType
MAXENT_QN_VALUE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_VALUE - Static variable in class opennlp.tools.ml.maxent.GISTrainer
MaxentModel - Interface in opennlp.tools.ml.model: Interface for maximum entropy models.
MaxentQn - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
mean() - Method in class opennlp.tools.util.eval.Mean
Mean - Class in opennlp.tools.util.eval: Calculates the arithmetic mean of values added with the Mean.add(double) method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
MERGE_BOTH - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side, as well as to the start token on the right side.
MERGE_TO_LEFT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side.
MERGE_TO_RIGHT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the start token on the right side.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure: Merge results into metric.
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
META_LABEL_FINAL - Static variable in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
methodObject - Static variable in class opennlp.tools.stemmer.snowball.indonesianStemmer
MGRS - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
MIN_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Finds the parameters that minimize the objective function.
misclassified(ChunkSample, ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
misclassified(SentenceSample, SentenceSample) - Method in class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
misclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
ModelParameterChunker - Class in opennlp.tools.ml.model: A helper class that handles Strings with more than 64k (65535 bytes) in length.
ModelType - Enum Class in opennlp.tools.util.model: Enumeration of supported model types.
ModelUtil - Class in opennlp.tools.util.model: Utility class for handling of models.
MosesSentenceSampleStream - Class in opennlp.tools.formats.moses
MosesSentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.moses.MosesSentenceSampleStream: Initializes a MosesSentenceSampleStream.
MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses: Factory producing OpenNLP MosesSentenceSampleStream objects.
MOVE_BOTH - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the left and right sides.
MOVE_LEFT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the left side.
MOVE_RIGHT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the right side.
Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc
MucNameContentHandler - Class in opennlp.tools.formats.muc
MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler: Initializes a MucNameContentHandler.
MucNameSampleStream - Class in opennlp.tools.formats.muc
MutableContext - Class in opennlp.tools.ml.model: An extension of Context used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableInt - Class in opennlp.tools.util: This is a non-thread safe mutable int.
MutableInt(int) - Constructor for class opennlp.tools.util.MutableInt
MutableTagDictionary - Interface in opennlp.tools.postag: Interface that allows TagDictionary entries to be added and removed.

N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayes - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes: Specialized parameters for the evaluation of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Class in opennlp.tools.ml.naivebayes: A MaxentModel implementation of the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel: Initializes a NaiveBayesModel.
NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: The base class for readers of models.
NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a File.
NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a DataReader.
NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: The base class for NaiveBayesModel writers.
NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter: Initializes a NaiveBayesModelWriter for a NaiveBayes model.
NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes: Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:
NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with default training parameters.
NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with specific TrainingParameters.
name - Variable in class opennlp.tools.ml.model.ComparablePredicate
NAME_FINDER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType
NameContextGenerator - Interface in opennlp.tools.namefind: Interface for generating the context for a name finder by specifying a set of feature generators.
NameEvaluationErrorListener - Class in opennlp.tools.cmdline.namefind: A default implementation of EvaluationMonitor that prints to an output stream.
NameEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener: Creates a listener that will print to the configured logger.
NameEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
NameFinderCensus90NameStream - Class in opennlp.tools.formats: This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream: Initializes a NameFinderCensus90NameStream via an InputStreamFactory and a Charset.
NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream: Initializes a NameFinderCensus90NameStream via ObjectStream<String>.
NameFinderEventStream - Class in opennlp.tools.namefind: Class for creating an event stream out of data files for training an TokenNameFinder.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream: Initializes a NameFinderEventStream using the specified dataStream and NameContextGenerator.
NameFinderME - Class in opennlp.tools.namefind: A maximum-entropy-based name finder implementation.
NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME: Initializes a NameFinderME with a TokenNameFinderModel.
NameFinderSequenceValidator - Class in opennlp.tools.namefind: The default name finder SequenceValidator implementation.
NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator
NameSample - Class in opennlp.tools.namefind: Encapsulates names for a single unit of text.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSampleCountersStream - Class in opennlp.tools.cmdline.namefind: Counts tokens, sentences and names by type.
NameSampleDataStream - Class in opennlp.tools.namefind: The NameSampleDataStream class converts tagged strings provided by a DataStream to NameSample objects.
NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream: Initializes a NameSampleDataStream with given psi samples.
NameSampleDataStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP NameSampleDataStreams.
NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats
NameSampleSequenceStream - Class in opennlp.tools.namefind: A SequenceStream implementation encapsulating samples.
NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleTypeFilter - Class in opennlp.tools.namefind: A stream which removes name samples which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter: Initializes a NameSampleTypeFilter.
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter: Initializes a NameSampleTypeFilter.
NameToSentenceSampleStream - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream: Initializes a NameToSentenceSampleStream.
NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream: Initializes a NameToTokenSampleStream.
NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
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 SentenceDetector assumes that sentences are line delimited and recognizes one sentence per non-empty line.
NewlineSentenceDetector() - Constructor for class opennlp.tools.sentdetect.NewlineSentenceDetector
next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner: Retrieves the next training and test partitions.
next() - Method in class opennlp.tools.util.ReverseListIterator
NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
nextIteration(int) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
nextToken() - Method in interface opennlp.tools.ml.maxent.DataStream: Returns the next slice of data held in this DataStream.
NGramCharModel - Class in opennlp.tools.ngram: The NGramCharModel can be used to create character ngrams.
NGramCharModel() - Constructor for class opennlp.tools.ngram.NGramCharModel: Initializes an empty instance.
NGramFeatureGenerator - Class in opennlp.tools.doccat: Generates ngram features for a document.
NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator: Instantiates an NGramFeatureGenerator instance with a Bi grams config.
NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator: Instantiates an NGramFeatureGenerator instance with configurable ngram parameters.
NGramGenerator - Class in opennlp.tools.ngram: Generates an nGram, via an optional separator, and returns the grams as a list of strings
NGramGenerator() - Constructor for class opennlp.tools.ngram.NGramGenerator
NGramLanguageModel - Class in opennlp.tools.languagemodel: A LanguageModel based on a NGramModel using Stupid Backoff to get the probabilities of the ngrams.
NGramLanguageModel() - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel: Initializes an NGramLanguageModel with NGramLanguageModel.DEFAULT_N.
NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel: Initializes an NGramLanguageModel with the given n for the ngram size.
NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel: Initializes a NGramLanguageModel instance via a valid InputStream.
NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel: Initializes a NGramLanguageModel instance via a valid InputStream.
NGramLanguageModelTool - Class in opennlp.tools.cmdline.languagemodel: Command line tool for NGramLanguageModel.
NGramLanguageModelTool() - Constructor for class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
NGramModel - Class in opennlp.tools.ngram: The NGramModel can be used to crate ngrams and character ngrams.
NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel: 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 ] ._.
NKJPSegmentationDocument - Class in opennlp.tools.formats.nkjp
NKJPSegmentationDocument.Pointer - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStream - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStreamFactory - Class in opennlp.tools.formats.nkjp
NKJPTextDocument - Class in opennlp.tools.formats.nkjp: The National corpus of Polish (NKJP) format.
NLD - Enum constant in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
NO_OPERATION - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Do not perform a merge operation for this token, but is possible that another token can be attached to the left or right side of this one.
NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME: Constant indicates no sentence split.
NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME: Constant indicates no token split.
Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should not be attached to another node.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
normalize(CharSequence) - Method in interface opennlp.tools.util.normalizer.CharSequenceNormalizer: Normalizes a sequence of characters.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
NORWEGIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
NUM_ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A NumberCharSequenceNormalizer implementation that normalizes text in terms of numbers.
NumberCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
numberOfGrams() - Method in class opennlp.tools.ngram.NGramCharModel: Retrieves the total count of all Ngrams.
numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel: Retrieves the total count of all Ngrams.


O

ObjectDataReader - Class in opennlp.tools.ml.model

A DataReader implementation based on ObjectInputStream.

ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader

Instantiates an ObjectDataReader.

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

Reads objects from a stream.

ObjectStreamUtils - Class in opennlp.tools.util
 
ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils
 
OnePassDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon
 contextual predicates and provides a unique integer index for each of the
 predicates.

OnePassDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassDataIndexer
 
OnePassRealValueDataIndexer - Class in opennlp.tools.ml.model

A DataIndexer for maxent model data which handles cutoffs for uncommon
 contextual predicates and provides a unique integer index for each of the
 predicates and maintains event values.

OnePassRealValueDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassRealValueDataIndexer
 
OntoNotesFormatParameters - Interface in opennlp.tools.formats.ontonotes
 
OntoNotesNameSampleStream - Class in opennlp.tools.formats.ontonotes

Name Sample Stream parser for the OntoNotes 4.0 corpus.

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

Initializes a 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

Initializes a OntoNotesParseSampleStream.

OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
 
OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
 
openFeatureGeneratorBytes(File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
 
opennlp.tools.chunker - package opennlp.tools.chunker

Package related to finding non-recursive syntactic annotation such as noun phrase chunks.

opennlp.tools.cmdline.chunker - package opennlp.tools.cmdline.chunker
 
opennlp.tools.cmdline.dictionary - package opennlp.tools.cmdline.dictionary
 
opennlp.tools.cmdline.doccat - package opennlp.tools.cmdline.doccat
 
opennlp.tools.cmdline.entitylinker - package opennlp.tools.cmdline.entitylinker
 
opennlp.tools.cmdline.langdetect - package opennlp.tools.cmdline.langdetect
 
opennlp.tools.cmdline.languagemodel - package opennlp.tools.cmdline.languagemodel
 
opennlp.tools.cmdline.lemmatizer - package opennlp.tools.cmdline.lemmatizer

Classes giving access to the opennlp.tools.lemmatizer functionalities.

opennlp.tools.cmdline.namefind - package opennlp.tools.cmdline.namefind
 
opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params
 
opennlp.tools.cmdline.parser - package opennlp.tools.cmdline.parser
 
opennlp.tools.cmdline.postag - package opennlp.tools.cmdline.postag
 
opennlp.tools.cmdline.sentdetect - package opennlp.tools.cmdline.sentdetect
 
opennlp.tools.cmdline.tokenizer - package opennlp.tools.cmdline.tokenizer
 
opennlp.tools.commons - package opennlp.tools.commons

Package related to common interfaces used in different contexts.

opennlp.tools.dictionary - package opennlp.tools.dictionary

Package related to parsing and storing dictionaries.

opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer
 
opennlp.tools.doccat - package opennlp.tools.doccat

Package for classifying a document into a category.

opennlp.tools.entitylinker - package opennlp.tools.entitylinker

Package related to linking entities to external data sources.

opennlp.tools.formats - package opennlp.tools.formats

Experimental package related to converting various corpora to OpenNLP Format.

opennlp.tools.formats.ad - package opennlp.tools.formats.ad

Experimental package related to the Arvores Deitadas corpus format.

opennlp.tools.formats.brat - package opennlp.tools.formats.brat

Experimental package related to the corpus format used by the "brat rapid annotation tool" (brat).

opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu

Experimental package related to the CoNNL-U format.

opennlp.tools.formats.convert - package opennlp.tools.formats.convert
 
opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank

Experimental package related to the French Treebank format.

opennlp.tools.formats.irishsentencebank - package opennlp.tools.formats.irishsentencebank

Experimental package related to the Irish Sentence Bank format.

opennlp.tools.formats.leipzig - package opennlp.tools.formats.leipzig

Experimental package related to the Leipzig corpus format.

opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt

Experimental package related to the letsmt corpus format.

opennlp.tools.formats.masc - package opennlp.tools.formats.masc

Experimental package related to the MASC corpus format.

opennlp.tools.formats.moses - package opennlp.tools.formats.moses
 
opennlp.tools.formats.muc - package opennlp.tools.formats.muc

Experimental package related to the MUC corpus format.

opennlp.tools.formats.nkjp - package opennlp.tools.formats.nkjp

Experimental package related to the National corpus of Polish NKJP format.

opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes

Experimental package related to the OntoNotes 4.0 format.

opennlp.tools.langdetect - package opennlp.tools.langdetect

Package related to predicting languages from samples of text.

opennlp.tools.languagemodel - package opennlp.tools.languagemodel

Package related to language models

opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer

Package related to the lemmatizer functionality.

opennlp.tools.log - package opennlp.tools.log

Package contains a PrintStream adapter for internal use only.

opennlp.tools.ml - package opennlp.tools.ml

Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.

opennlp.tools.ml.maxent - package opennlp.tools.ml.maxent

Package related to ML by means of the Maximum Entropy (ME) algorithm.

opennlp.tools.ml.maxent.io - package opennlp.tools.ml.maxent.io

Package related to the I/O functionality of the maxent package including reading
 and writing models in several formats.

opennlp.tools.ml.maxent.quasinewton - package opennlp.tools.ml.maxent.quasinewton

Package related to ML by means of the Quasi Newton (QN) algorithm.

opennlp.tools.ml.model - package opennlp.tools.ml.model

Package related to ML models and feature selection techniques.

opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes

Package related to ML by means of the Naive Bayes algorithm.

opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron

Package related to ML by means of the perceptron algorithm.

opennlp.tools.namefind - package opennlp.tools.namefind

Package related to finding proper names and numeric amounts.

opennlp.tools.ngram - package opennlp.tools.ngram

Package related to computing and storing n-gram frequencies.

opennlp.tools.parser - package opennlp.tools.parser

Package containing common code for performing full syntactic parsing.

opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking

Package containing code for performing full syntactic parsing using shift/reduce-style decisions.

opennlp.tools.parser.lang.en - package opennlp.tools.parser.lang.en
 
opennlp.tools.parser.lang.es - package opennlp.tools.parser.lang.es
 
opennlp.tools.parser.treeinsert - package opennlp.tools.parser.treeinsert

Package containing experimental code for performing full syntactic
 parsing using attachment decisions.

opennlp.tools.postag - package opennlp.tools.postag

Package related to part-of-speech tagging.

opennlp.tools.sentdetect - package opennlp.tools.sentdetect

Package related to identifying sentence boundaries.

opennlp.tools.sentdetect.lang - package opennlp.tools.sentdetect.lang
 
opennlp.tools.sentdetect.lang.th - package opennlp.tools.sentdetect.lang.th

Package related to the processing of Thai data.

opennlp.tools.stemmer - package opennlp.tools.stemmer
 
opennlp.tools.stemmer.snowball - package opennlp.tools.stemmer.snowball
 
opennlp.tools.tokenize - package opennlp.tools.tokenize

Contains classes related to finding token or words in a string.

opennlp.tools.tokenize.lang - package opennlp.tools.tokenize.lang
 
opennlp.tools.tokenize.lang.en - package opennlp.tools.tokenize.lang.en
 
opennlp.tools.util - package opennlp.tools.util

Package containing utility data structures and algorithms used by multiple other packages.

opennlp.tools.util.eval - package opennlp.tools.util.eval
 
opennlp.tools.util.ext - package opennlp.tools.util.ext

Package containing extension loading code.

opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen

This package contains classes for generating sequence features.

opennlp.tools.util.java - package opennlp.tools.util.java
 
opennlp.tools.util.model - package opennlp.tools.util.model
 
opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer
 
opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector
 
OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream
 
OTHER - Static variable in class opennlp.tools.namefind.BilouCodec
 
OTHER - Static variable in class opennlp.tools.namefind.BioCodec
 
OTHER - Static variable in class opennlp.tools.namefind.NameFinderME
 
OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Outcome for token which is not contained in a basal constituent.

outcome - Variable in class opennlp.tools.ml.model.ComparableEvent
 
OutcomePriorFeatureGenerator - Class in opennlp.tools.util.featuregen

The definition feature maps the underlying distribution of outcomes.

OutcomePriorFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
 
outcomes - Variable in class opennlp.tools.ml.model.ComparablePredicate
 

P

ParagraphStream - Class in opennlp.tools.util

A FilterObjectStream which merges text lines into paragraphs.

ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream

Initializes an FilterObjectStream.

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

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(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
 
parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
 
parse(InputStream) - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument

Parses the data provided via an InputStream into a
 IrishSentenceBankDocument.

parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
 
parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPTextDocument
 
parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove

Parses a glove vector plain text file.

parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser
 
parse(String) - Static method in enum class opennlp.tools.parser.ParserType
 
parse(String) - Static method in class opennlp.tools.postag.POSSample

Parses a sentenceString.

parse(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
 
parse(String) - Static method in class opennlp.tools.util.Version

Return a new Version initialized to the value
 represented by the specified String

parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample

Parses given input into a NameSample.

parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

Parses a sentence string into a ADSentenceStream.Sentence.

parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample

Parses a string sample.

parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample

Parses given input into a NameSample.

parse(BratDocument) - Method in class opennlp.tools.formats.brat.BratDocumentParser
 
parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
parse(Parse) - Method in interface opennlp.tools.parser.Parser

Returns a Parse for the specified Parse of tokens.

parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
parse(Parse, int) - Method in interface opennlp.tools.parser.Parser

Returns the specified number of parses or fewer for the specified tokens.

Parse - Class in opennlp.tools.parser

Data structure for holding parse constituents.

Parse(String, Span, String, double, int) - Constructor for class opennlp.tools.parser.Parse

Initializes a node for this specified text and span of the
 specified type with probability p and the head index.

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

Initializes a node for this specified text and span of the
 specified type with probability p and the head index.

parseContexts(String[]) - Static method in class opennlp.tools.ml.model.RealValueFileEventStream

Parses the specified contexts and re-populates context array with features
 and returns the values for these features.

parseDocument(String, InputStream, InputStream, InputStream, InputStream, InputStream) - Static method in class opennlp.tools.formats.masc.MascDocument

Initializes a MascDocument with all the stand-off annotations translated into the
 internal structure.

parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument
 
parseLine(String, Parser, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
 
parseLine(String, Parser, Tokenizer, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
 
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary

Reads a Dictionary which has one entry per line.

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

Parses the specified tree-bank style parse string and return a Parse structure
 for that string.

parseParse(String, GapLabeler) - Static method in class opennlp.tools.parser.Parse

Parses the specified tree-bank style Parse string and return a Parse structure
 for that string.

Parser - Class in opennlp.tools.parser.chunking

A shift reduce style Parser implementation
 based on Adwait Ratnaparkhi's 1998 thesis.

Parser - Class in opennlp.tools.parser.treeinsert

A built-attach Parser implementation.

Parser - Interface in opennlp.tools.parser

Defines common methods for full-syntactic parsers.

Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser

Instantiates a Parser via a given model.

Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser

Instantiates a Parser via a given model.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser

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

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser

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

PARSER - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType
 
ParserChunkerFactory - Class in opennlp.tools.parser
 
ParserChunkerFactory() - Constructor for class opennlp.tools.parser.ParserChunkerFactory
 
ParserChunkerSequenceValidator - Class in opennlp.tools.parser

The parser chunker SequenceValidator implementation.

ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator
 
ParserConverterTool - Class in opennlp.tools.cmdline.parser

Tool to convert multiple data formats into native OpenNLP parser
 format.

ParserConverterTool() - Constructor for class opennlp.tools.cmdline.parser.ParserConverterTool
 
ParserCrossValidator - Class in opennlp.tools.parser

Cross validator for a Parser.

ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator

Initializes a ParserCrossValidator instance via given parameters.

ParserEvaluationMonitor - Interface in opennlp.tools.parser

A marker interface for evaluating parsers.

ParserEvaluator - Class in opennlp.tools.parser

This implementation of Evaluator<Parse> behaves like EVALB with no exceptions,
 e.g, without removing punctuation tags, or equality between ADVP and PRT, as
 in 
 COLLINS convention.

ParserEvaluator(Parser, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserEvaluator

Initializes a ParserEvaluator instance with the given Parser.

ParserEvaluatorTool - Class in opennlp.tools.cmdline.parser

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

ParserEvaluatorTool() - Constructor for class opennlp.tools.cmdline.parser.ParserEvaluatorTool
 
ParserEventStream - Class in opennlp.tools.parser.chunking

Wrapper class for one of four shift-reduce parser event streams.

ParserEventStream - Class in opennlp.tools.parser.treeinsert

Wrapper class for one of four built-attach parser event streams.

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

Instantiates a ParserEventStream based on the specified data stream
 of the type using head rules.

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

Instantiates a ParserEventStream based on the specified data stream
 of the type using head rules.

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

Instantiates a ParserEventStream based on the specified data stream
 of the type using head rules.

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

Instantiates a ParserEventStream based on the specified data stream
 of the type using head rules.

ParserEventTypeEnum - Enum Class in opennlp.tools.parser

Enumeration of event types for a Parser.

ParserFactory - Class in opennlp.tools.parser
 
ParserModel - Class in opennlp.tools.parser

This is the default ParserModel implementation.

ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid File.

ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid InputStream.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via given parameters.

ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid URL.

ParserModel(Path) - Constructor for class opennlp.tools.parser.ParserModel

Initializes a ParserModel instance via a valid Path.

ParserModelLoader - Class in opennlp.tools.cmdline.parser

Loads a ParserModel for the command line tools.

ParserModelLoader() - Constructor for class opennlp.tools.cmdline.parser.ParserModelLoader
 
ParserTool - Class in opennlp.tools.cmdline.parser
 
ParserTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTool
 
ParserTrainerTool - Class in opennlp.tools.cmdline.parser
 
ParserTrainerTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTrainerTool
 
ParserType - Enum Class in opennlp.tools.parser

Enumeration of supported Parser types.

ParseSampleStream - Class in opennlp.tools.parser
 
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream

Initializes a instance.

ParseSampleStreamFactory<P> - Class in opennlp.tools.formats

Factory producing OpenNLP ParseSampleStreams.

ParseSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
 
ParseToPOSSampleStream - Class in opennlp.tools.formats.convert

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

ParseToPOSSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.formats.convert.ParseToPOSSampleStream

Initializes a ParseToPOSSampleStream.

ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert

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

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 - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
 
PERCEPTRON - Enum constant in enum class opennlp.tools.util.model.ModelType
 
PERCEPTRON_SEQUENCE - Enum constant in enum class opennlp.tools.util.model.ModelType
 
PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
 
PERCEPTRON_VALUE - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
PerceptronModel - Class in opennlp.tools.ml.perceptron

A model implementation based one the perceptron algorithm.

PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel

Initializes a PerceptronModel.

PerceptronModelReader - Class in opennlp.tools.ml.perceptron

The base class for readers of models.

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

Initializes a PerceptronModelReader via a File.

PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader

Initializes a PerceptronModelReader via a DataReader.

PerceptronModelWriter - Class in opennlp.tools.ml.perceptron

The base class for PerceptronModel writers.

PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelWriter

Initializes a PerceptronModelWriter for a
 perceptron model.

PerceptronTrainer - Class in opennlp.tools.ml.perceptron

Trains models using the perceptron algorithm.

PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

Instantiates a PerceptronTrainer with default training parameters.

PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer

Instantiates a PerceptronTrainer with specific
 TrainingParameters.

persist() - Method in class opennlp.tools.ml.AbstractMLModelWriter
 
persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter

Writes the GIS model, using the
 AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)}
 methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter

Writes the QN model, using the
 AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)}
 methods implemented by extending classes.

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

Serializes the model using the
 AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double),
 or AbstractModelWriter.writeInt(int)} methods implemented by
 extending classes.

persist() - Method in class opennlp.tools.ml.model.GenericModelWriter
 
persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

Writes the perceptron model, using the
 AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)}
 methods implemented by extending classes.

persist() - Method in class opennlp.tools.ml.perceptron.PerceptronModelWriter

Writes the perceptron model, using the
 AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)}
 methods implemented by extending classes.

phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample

Create arrays of spans of phrases.

PlainTextByLineStream - Class in opennlp.tools.util

Reads a plain text file and returns each line as a String object.

PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream

Initializes a PlainTextByLineStream.

PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream

Initializes a PlainTextByLineStream.

PlainTextFileDataReader - Class in opennlp.tools.ml.model

A generic DataReader implementation for plain text files.

PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader

Initializes a PlainTextFileDataReader via a BufferedReader.

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

Initializes a PlainTextFileDataReader via a File.

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

Initializes a PlainTextFileDataReader via a InputStream.

PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelReader that reads models from a plain text format.

PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader

Instantiates PlainTextNaiveBayesModelReader via a BufferedReader
 containing the model contents.

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

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

PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

A NaiveBayesModelWriter that writes models in a plain text format.

PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

Instantiates PlainTextNaiveBayesModelWriter via
 an naive bayes model and a BufferedWriter.

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

Instantiates PlainTextNaiveBayesModelWriter via an
 naive bayes model and a File.

Pointer(String, String, int, int, boolean) - Constructor for class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
 
populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME

Populates a POSDictionary from an ObjectStream of samples.

PORTER - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
 
PorterStemmer - Class in opennlp.tools.stemmer

A Stemmer, implementing the 
 Porter Stemming Algorithm

PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer
 
PORTUGUESE - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
 
PortugueseContractionUtility - Class in opennlp.tools.formats.ad

Utility class to handle Portuguese contractions.

PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility
 
POS - Enum constant in enum class opennlp.tools.util.DownloadUtil.ModelType
 
POSContextGenerator - Interface in opennlp.tools.postag

Interface for a BeamSearchContextGenerator used in POS tagging.

POSDictionary - Class in opennlp.tools.postag

Provides a means of determining which tags are valid for a particular word
 based on a TagDictionary read from a file.

POSDictionary() - Constructor for class opennlp.tools.postag.POSDictionary

Initializes an empty case sensitive POSDictionary.

POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary

Initializes an empty POSDictionary.

POSDictionarySerializer() - Constructor for class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
 
POSEvaluationErrorListener - Class in opennlp.tools.cmdline.postag

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

POSEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener

Creates a listener that will print to the configured logger.

POSEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener

Creates a listener that will print to a given OutputStream.

POSEvaluator - Class in opennlp.tools.postag

The POSEvaluator measures the performance of the given POSTagger
 with the provided reference samples.

POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator

Initializes the current instance.

POSModel - Class in opennlp.tools.postag

The POSModel is the model used by a learnable POSTagger.

POSModel(File) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid File.

POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid InputStream.

POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(String, SequenceClassificationModel<String>, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid URL.

POSModel(Path) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via a valid Path.

POSModelLoader - Class in opennlp.tools.cmdline.postag

Loads a POSModel for the command line tools.

POSModelLoader() - Constructor for class opennlp.tools.cmdline.postag.POSModelLoader
 
POSModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer
 
POSSample - Class in opennlp.tools.postag

Represents an pos-tagged sentence.

POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample

Initializes a POSSample instance.

POSSampleEventStream - Class in opennlp.tools.postag

Reads the samples from an Iterator
 and converts those samples into events which
 can be used by the maxent library for training.

POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with given samples
 and a DefaultPOSContextGenerator.

POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with the given samples and a POSContextGenerator.

POSSampleSequenceStream - Class in opennlp.tools.postag

A SequenceStream implementation encapsulating samples.

POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

Creates a POSSampleSequenceStream with given samples using
 a DefaultPOSContextGenerator.

POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

Creates a POSSampleSequenceStream with given samples using
 a POSContextGenerator.

PosSampleStream - Class in opennlp.tools.parser
 
PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream

Initializes a instance.

POSTagger - Interface in opennlp.tools.postag

The interface for part of speech taggers.

POSTaggerConverterTool - Class in opennlp.tools.cmdline.postag

Tool to convert multiple data formats into native OpenNLP part of speech tagging
 training format.

POSTaggerConverterTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerConverterTool
 
POSTaggerCrossValidator - Class in opennlp.tools.postag
 
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Initializes 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.

POSTaggerCrossValidatorTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
 
POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag

A marker interface for evaluating pos taggers.

POSTaggerEvaluatorTool - Class in opennlp.tools.cmdline.postag

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

POSTaggerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
 
POSTaggerFactory - Class in opennlp.tools.postag

The factory that provides POSTagger default implementations and resources.

POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory

Initializes a POSTaggerFactory that provides the default implementation
 of the resources.

POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory

Initializes a POSTaggerFactory from a given set of the resources.

POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag
 
PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen
 
PosTaggerFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
 
PosTaggerFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
 
PosTaggerFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
 
POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag

Generates a detailed report for the POS Tagger.

POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

Creates a listener that will print to the configured logger.

POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener

Creates a listener that prints to a given OutputStream.

POSTaggerME - Class in opennlp.tools.postag

A part-of-speech tagger that uses maximum entropy.

POSTaggerME(String) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME by downloading a default model for a given
 language.

POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME

Initializes a POSTaggerME with the provided model.

POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds the token POS Tag as feature.

POSTaggerNameFeatureGenerator(POSModel) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a new instance.

POSTaggerNameFeatureGenerator(POSTagger) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator

Initializes a new instance.

POSTaggerNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
 
POSTaggerNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
 
POSTaggerTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTool
 
POSTaggerTrainerTool - Class in opennlp.tools.cmdline.postag
 
POSTaggerTrainerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
 
POSToSentenceSampleStream - Class in opennlp.tools.formats.convert

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

POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStream

Initializes a POSToSentenceSampleStream.

POSToSentenceSampleStreamFactory<P> - 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

Initializes a POSToTokenSampleStream.

POSToTokenSampleStreamFactory<P> - 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

Predicts the Language for the full content length.

predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.