Index

A B C D E F G H I J L M N O P 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

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

A base ObjectStream implementation for events.

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

Initializes an AbstractEventStream with a sample Iterator.

AbstractParserEventStream - Class in opennlp.tools.parser

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

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

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

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

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

Add a character to the word being stemmed.

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

Adds cutoff and iterations to manifestInfoEntries.

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

additionalContext(String[], Map) - 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

AggregateCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A CharSequenceNormalizer implementation that aggregates the functionality of other normalizers.

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

AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

Initializes an AggregatedFeatureGenerator via specified generators.

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

Initializes an AggregatedFeatureGenerator via specified generators.

AggregatedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

Among - Class in opennlp.tools.stemmer.snowball

Internal class used by Snowball stemmers

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

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

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

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

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

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

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

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

arabicStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

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

Converts this Dictionary to a Set<String>.

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

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

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

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

AttachContextGenerator - Class in opennlp.tools.parser.treeinsert

Generates predictive contexts for deciding how constituents should be attached.

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

Instantiates an AttachContextGenerator for making decisions about attachments.

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

Returns the value of the attributes record component.

Attributes - Class in opennlp.tools.dictionary.serializer

The Attributes class stores name value pairs.

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

B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat

Generates a feature for each word in a document.

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

Instantiates a default BagOfWordsFeatureGenerator instance.

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

between(int, int, int) - Static method in class opennlp.tools.util.Version

Checks whether a version is in between an interval and its boundaries.

BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds bigram features based on tokens and token classes.

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

BigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

BilouCodec - Class in opennlp.tools.namefind

The default SequenceCodec implementation according to the BILOU scheme.

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

BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind

A SequenceValidator implementation for the BilouCodec.

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

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

BrownBigramFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates Brown cluster features for token bigrams.

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

Initializes a BrownBigramFeatureGenerator generator via a specified BrownCluster.

BrownCluster - Class in opennlp.tools.util.featuregen

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

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

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

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

BrownClusterBigramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

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

BrownClusterTokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

BrownClusterTokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

BrownTokenClasses - Class in opennlp.tools.util.featuregen

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

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

BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates BrownCluster features for current token and token class.

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

Instantiates a BrownTokenClassFeatureGenerator via a specified BrownCluster.

BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates BrownCluster features for current token.

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

Instantiates a BrownTokenFeatureGenerator via a specified BrownCluster.

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, 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, 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.

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

Constructs an 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

CachedFeatureGenerator - Class in opennlp.tools.util.featuregen

Caches features of the aggregated generators.

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

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

Deprecated.

CachedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

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

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

calculateLaplaceSmoothingProbability(StringList, Iterable, 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) - 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) - 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 class opennlp.tools.languagemodel.NGramLanguageModel

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

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

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

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

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

catalanStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

Initializes a CharacterNgramFeatureGenerator with default values for ngrams.

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

Initializes a CharacterNgramFeatureGenerator with the specified parameters.

CharacterNgramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

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) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator

Instantiates a CheckContextGenerator for making decisions using a punctSet.

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

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

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

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

ChunkContextGenerator - Class in opennlp.tools.parser

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

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

Initializes a ChunkContextGenerator instance.

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

Initializes a ChunkContextGenerator instance with a custom cacheSize.

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.

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.

ChunkerEventStream - Class in opennlp.tools.chunker

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

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

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

ChunkerFactory - Class in opennlp.tools.chunker

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

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

ChunkerME - Class in opennlp.tools.chunker

The class represents a maximum-entropy-based Chunker.

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

Initializes a Chunker by downloading a default model.

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

Initializes a Chunker with the specified ChunkerModel.

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

Initializes a ChunkerModel instance via given parameters.

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

Initializes a ChunkerModel instance via given parameters.

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

Initializes a ChunkerModel instance via given parameters.

ChunkerModel(String, SequenceClassificationModel, Map, 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.

ChunkerModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

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

ChunkSampleSequenceStream - Class in opennlp.tools.chunker

A SequenceStream implementation encapsulating samples.

ChunkSampleSequenceStream(ObjectStream, 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) - Constructor for class opennlp.tools.chunker.ChunkSampleStream

Initializes a instance.

ChunkSampleStream(ObjectStream) - 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 class opennlp.tools.namefind.NameFinderME

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

collapsePunctuation(Parse[], Set) - 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 E as source for elements.

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

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

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

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

Outcome used when a constituent is complete.

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.

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

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

Prefix for outcomes continuing a constituent.

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(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

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

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

Converts a given tag to the specified format.

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

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

Converts a list of tags to the specified format.

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

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 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, 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, byte[], Map, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory

Instantiates a POSTaggerFactory via a given subclassName.

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

Initializes a TokenNameFinderFactory instance via given parameters.

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

Instantiates a SentenceDetectorFactory via a given subclassName.

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

Factory method the framework uses instantiate a new TokenizerFactory.

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

Factory method the framework uses create a new DoccatFactory.

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

Instantiates a BaseToolFactory via a given subclassName.

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

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

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

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

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

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

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

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

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

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

Create the serializers.

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

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

Creates a Map with pairs of keys and ArtifactSerializer.

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

Creates and configures a new NameContextGenerator in a default combination.

createContextGenerator() - Method in class opennlp.tools.sentiment.SentimentFactory

Creates a new context generator.

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

Creates the default TrainingParameters in case they are not provided.

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

Create a new DocumentBuilder which processes XML securely.

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

createEndOfSentenceScanner(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[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

createSentenceContextGenerator(Set, 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

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) - Method in class opennlp.tools.tokenize.lang.Factory

Initializes a customized TokenContextGenerator via a set of abbreviations.

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

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

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

Initializes CrossValidationPartitioner instance.

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

Initializes CrossValidationPartitioner instance.

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

The CrossValidationPartitioner.TrainingSampleStream which iterates over all training elements.

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

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

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

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

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

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

D

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

danishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

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

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

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

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

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

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

The default beam size value is 3.

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

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

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

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

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

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

The default amount of probability mass required of advanced outcomes.

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

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

DefaultChunkerContextGenerator - Class in opennlp.tools.chunker

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

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

Initializes a DefaultChunkerContextGenerator instance.

DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker

The default chunker SequenceValidator implementation.

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

DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect

Default implementation of the EndOfSentenceScanner.

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

Initializes the current instance.

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

DefaultLanguageDetectorContextGenerator - Class in opennlp.tools.langdetect

A context generator for language detector.

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

Creates a customizable DefaultLanguageDetectorContextGenerator that computes ngrams from text.

DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer

Simple feature generator for learning statistical lemmatizers.

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

DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer

The default lemmatizer SequenceValidator implementation.

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

DefaultNameContextGenerator - Class in opennlp.tools.namefind

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

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

Creates a name context generator with the specified feature generators.

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

Initializes a customized DefaultTokenContextGenerator instance via a set of inducedAbbreviations.

DefinitionFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

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

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 class opennlp.tools.tokenize.DictionaryDetokenizer

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

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.

DictionaryDetokenizer - Class in opennlp.tools.tokenize

A rule based detokenizer.

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

Initializes a DictionaryDetokenizer instance.

DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer

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

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

DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

Initializes a DictionaryFeatureGenerator with the specified parameters.

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

Initializes a DictionaryFeatureGenerator with the specified Dictionary.

DictionaryFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

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

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

DictionaryLemmatizer - Class in opennlp.tools.lemmatizer

A Lemmatizer implementation that works by simple dictionary lookup into a Map built from a file containing, for each line:

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

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

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

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

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

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

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

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

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

Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.

DictionaryNameFinder - Class in opennlp.tools.namefind

This is a Dictionary based name finder.

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

Initializes a DictionaryNameFinder with the provided Dictionary and DictionaryNameFinder.DEFAULT_TYPE.

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

Initializes a DictionaryNameFinder with the provided Dictionary and a type.

DictionarySerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for dictionaries.

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

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

Retrieves the number of digits.

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.

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.

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, 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.

DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen

This feature generator creates document begin features.

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

DocumentBeginFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces DocumentBeginFeatureGenerator instances when DocumentBeginFeatureGeneratorFactory.create() is called.

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

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) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream

Initializes a DocumentCategorizerEventStream via samples.

DocumentCategorizerEventStream(ObjectStream, 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.

DocumentSampleStream - Class in opennlp.tools.doccat

Reads in string encoded training samples, parses them and outputs DocumentSample objects.

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

Initializes a instance.

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

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

downloadModel(String, ModelType, Class) - Static method in class opennlp.tools.util.DownloadUtil

Triggers a download for the specified ModelType.

downloadModel(URL, Class) - 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

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

Removes spans with are intersecting or crossing in any way.

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

dutchStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream

encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec

encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec

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

Encodes the word given its lemmas.

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

englishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

EntityLinkerFactory - Class in opennlp.tools.entitylinker

Generates a EntityLinker instances via a properties file configuration.

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

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.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 record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Indicates whether some other object is "equal to" this one.

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.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.stemmer.snowball.arabicStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.catalanStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.danishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.dutchStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.englishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.finnishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.frenchStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.germanStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.greekStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer

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

equals(Object) - Method in class opennlp.tools.stemmer.snowball.italianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.porterStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.romanianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.russianStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.spanishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.swedishStemmer

equals(Object) - Method in class opennlp.tools.stemmer.snowball.turkishStemmer

equals(Object) - Method in class opennlp.tools.tokenize.TokenizerModel

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

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

evaluate(ObjectStream, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator

Starts the evaluation.

evaluate(ObjectStream, int) - Method in class opennlp.tools.sentiment.SentimentCrossValidator

Performs evaluation

evaluate(ObjectStream, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator

Starts the evaluation.

evaluate(ObjectStream) - 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.

Evaluator<T> - Class in opennlp.tools.util.eval

An abstract base class for evaluators.

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

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

EventTraceStream - Class in opennlp.tools.util

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

Initializes an EventTraceStream.

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

extractFeatures(String[], Map) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator

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

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

FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen

This class provide common utilities for feature generation.

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

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

Abstract base class for filtering streams.

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

Finds spans with character indices, rather than word.

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

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

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

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

find(String[], 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.

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

finnishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

frenchStemmer - Class in opennlp.tools.stemmer.snowball

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

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

G

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

Generates nGrams based on a char[] input.

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

Creates nGrams separated by the separator param value i.e.

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

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

Generates events for each token in a sentence with the specified outcomes using the specified NameContextGenerator.

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

generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream

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

use the BioCodec implementation of the SequenceValidator instead!

GeneratorFactory - Class in opennlp.tools.util.featuregen

Creates a set of feature generators based on a provided XML descriptor.

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

GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

GenericModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

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

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

germanStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

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

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

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

getAvailableModels() - Static method in class opennlp.tools.util.DownloadUtil

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

getBestSentiment(double[]) - Method in class opennlp.tools.sentiment.SentimentME

Returns the best chosen sentiment for the given probability distribution.

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

getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

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

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

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

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

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.

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

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

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

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

Finds the context for finding names at the specified index.

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

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

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

Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.

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

Returns the context.

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 class opennlp.tools.parser.ChunkContextGenerator

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

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

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

getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator

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.sentiment.SentimentContextGenerator

Returns the context

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

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, 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.

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

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.

getCurrent() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the current string.

getCurrentBuffer() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the current buffer containing the stem.

getCurrentBufferLength() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Get the valid length of the character array in SnowballProgram.getCurrentBuffer().

getDefaultRegexNameFinders(Map, 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.

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

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

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

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

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

getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

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

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

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

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

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

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

Retrieves an EventModelSequenceTrainer that fits the given parameters.

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

Works just like TrainerFactory.getEventTrainer(TrainingParameters, Map, TrainingConfiguration) except that TrainingConfiguration is initialized with default values.

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

Retrieves an EventTrainer that fits the given parameters.

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.sentiment.SentimentModel

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

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

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.sentdetect.SDCrossValidator

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

getFMeasure() - Method in class opennlp.tools.sentiment.SentimentCrossValidator

Returns the F-Measure

getFMeasure() - Method in class opennlp.tools.sentiment.SentimentEvaluator

getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator

getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator

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

Retrieves a Collections of all aggregated feature generators.

getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper

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

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

getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

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

getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME

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

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

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

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

getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel

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.

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 class opennlp.tools.util.model.BaseModel

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

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.sentiment.SentimentModel

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

getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

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

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

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

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

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

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

getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME

getOrderedTags(List, List, int) - Method in class opennlp.tools.postag.POSTaggerME

getOrderedTags(List, List, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME

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

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

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

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

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

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

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

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

Use ThreadSafeTokenizerME.probs() instead.

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

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

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

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) - Static method in class opennlp.tools.parser.treeinsert.Parser

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

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

getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME

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

Use SentenceDetectorME.probs() instead.

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

Deprecated.

Use ThreadSafeSentenceDetectorME.probs() instead.

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

getSequenceModelTrainer(TrainingParameters, Map) - 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

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

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

getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory

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

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

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

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

Returns a list of valid tags for the specified word.

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

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

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

getTokenizer() - Method in class opennlp.tools.sentiment.SentimentFactory

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

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

Use TokenizerME.probs() instead.

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

Determines the TrainerFactory.TrainerType based on the Parameters.ALGORITHM_PARAM value.

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

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.

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

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

Glove - Class in opennlp.tools.util.wordvector

GloVe is an unsupervised learning algorithm for obtaining vector representations for words.

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

greekStemmer - Class in opennlp.tools.stemmer.snowball

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

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

guessFormat(POSModel) - Static method in class opennlp.tools.postag.POSTagFormatMapper

Guesses the POSTagFormat of a given POSModel

H

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

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

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.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.ParserModel

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

Class for storing the English HeadRules associated with parsing.

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

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

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

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

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

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

hungarianStemmer - Class in opennlp.tools.stemmer.snowball

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

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

I

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 - Class in opennlp.tools.dictionary

This classes indexes string lists.

Index(Iterator) - Constructor for class opennlp.tools.dictionary.Index

Initializes an Index with the given Iterator over StringList elements.

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

insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter

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.

instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a SequenceCodec instance via given parameters.

intern(String) - Static method in class opennlp.tools.util.jvm.StringInterners

Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.

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

irishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

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

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

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

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

isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary

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

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

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

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

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

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

isValid(Parameters) - Static method in class opennlp.tools.ml.TrainerFactory

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

italianStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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

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

LanguageDetectorConfig - Class in opennlp.tools.langdetect

LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig

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.

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.

LanguageDetectorEventStream - Class in opennlp.tools.langdetect

Iterator-like class for modeling an event stream of samples.

LanguageDetectorEventStream(ObjectStream, 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

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, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel

Initializes a LanguageDetectorModel instance via given parameters.

LanguageDetectorSampleStream - Class in opennlp.tools.langdetect

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

LanguageDetectorSampleStream(ObjectStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorSampleStream

Initializes a instance.

languages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns the value of the languages record component.

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

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

LemmaSampleEventStream - Class in opennlp.tools.lemmatizer

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

LemmaSampleEventStream(ObjectStream, 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, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

LemmaSampleStream - Class in opennlp.tools.lemmatizer

Reads data for training and testing the Lemmatizer.

LemmaSampleStream(ObjectStream) - 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 class opennlp.tools.lemmatizer.LemmatizerME

lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

lemmatize(List, List) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer

lemmatize(List, List) - Method in class opennlp.tools.lemmatizer.LemmatizerME

lemmatize(List, List) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

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.

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.

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.

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, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, MaxentModel, Map, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel

Initializes a LemmatizerModel instance via given parameters.

LemmatizerModel(String, SequenceClassificationModel, Map, 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.

length() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns the value of the length record component.

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.

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

mergeReportIntoManifest(Map, Map, String) - Static method in class opennlp.tools.parser.chunking.Parser

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

ModelUtil - Class in opennlp.tools.util.model

Utility class for handling of models.

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.

MutableInt - Class in opennlp.tools.util

This is a non-thread safe mutable int.

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

N

NameFinderEventStream - Class in opennlp.tools.namefind

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

NameFinderEventStream(ObjectStream, String, NameContextGenerator, SequenceCodec) - 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

NameSampleDataStream - Class in opennlp.tools.namefind

The NameSampleDataStream class converts tagged tokens provided by a DataStream to NameSample objects.

NameSampleDataStream(ObjectStream) - Constructor for class opennlp.tools.namefind.NameSampleDataStream

Initializes a NameSampleDataStream with given psi samples.

NameSampleSequenceStream - Class in opennlp.tools.namefind

A SequenceStream implementation encapsulating samples.

NameSampleSequenceStream(ObjectStream) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples.

NameSampleSequenceStream(ObjectStream, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream, NameContextGenerator, boolean, SequenceCodec) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream

Initializes a NameSampleSequenceStream with given psi samples and an feature generator.

NameSampleSequenceStream(ObjectStream, 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) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter

Initializes a NameSampleTypeFilter.

NameSampleTypeFilter(Set, ObjectStream) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter

Initializes a NameSampleTypeFilter.

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_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator

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.

NGramModel - Class in opennlp.tools.ngram

The NGramModel can be used to crate ngrams and character ngrams.

NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel

Instantiates an empty NGramModel instance.

NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel

Instantiates a NGramModel via an InputStream reference.

NGramUtils - Class in opennlp.tools.ngram

Utility class for ngrams.

NGramUtils() - Constructor for class opennlp.tools.ngram.NGramUtils

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.

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 class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer

normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer

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

norwegianStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

opennlp.tools.chunker - package opennlp.tools.chunker

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

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

opennlp.tools.doccat - package opennlp.tools.doccat

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

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

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

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

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

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

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

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

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

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

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

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

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

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.sentiment - package opennlp.tools.sentiment

opennlp.tools.stemmer - package opennlp.tools.stemmer

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

opennlp.tools.tokenize - package opennlp.tools.tokenize

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

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

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

opennlp.tools.util.jvm - package opennlp.tools.util.jvm

opennlp.tools.util.model - package opennlp.tools.util.model

opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer

opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector

OTHER - Static variable in class opennlp.tools.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.

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

P

parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove

Parses a glove vector plain text file.

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

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

parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary

Reads a Dictionary which has one entry per line.

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(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.

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

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, 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, 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, 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, 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.

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

Initializes a ParserModel instance via given parameters.

ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map) - 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.

ParseSampleStream - Class in opennlp.tools.parser

ParseSampleStream(ObjectStream) - Constructor for class opennlp.tools.parser.ParseSampleStream

Initializes a instance.

pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses

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

populatePOSDictionary(ObjectStream, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME

Populates a POSDictionary from an ObjectStream of samples.

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

porterStemmer - Class in opennlp.tools.stemmer.snowball

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

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

PorterStemmer - Class in opennlp.tools.stemmer

A Stemmer, implementing the Porter Stemming Algorithm

PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer

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

portugueseStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

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, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel

Initializes a POSModel instance via given parameters.

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

Initializes a POSModel instance via given parameters.

POSModel(String, SequenceClassificationModel, Map, 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.

POSModelSerializer - Class in opennlp.tools.util.model

An ArtifactSerializer implementation for models.

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

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) - Constructor for class opennlp.tools.postag.POSSampleEventStream

Initializes the current instance with given samples and a DefaultPOSContextGenerator.

POSSampleEventStream(ObjectStream, 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) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream

Creates a POSSampleSequenceStream with given samples using a DefaultPOSContextGenerator.

POSSampleSequenceStream(ObjectStream, 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) - Constructor for class opennlp.tools.parser.PosSampleStream

Initializes a instance.

POSTagFormat - Enum Class in opennlp.tools.postag

Defines the format for part-of-speech tagging, i.e.

POSTagFormatMapper - Class in opennlp.tools.postag

A mapping implementation for converting between different POS tag formats.

POSTagFormatMapper.NoOp - Class in opennlp.tools.postag

POSTaggerCrossValidator - Class in opennlp.tools.postag

POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map, Integer, String, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.

POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.

POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

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, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory

Initializes a POSTaggerFactory from a given set of the resources.

POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag

PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen

A POS tagging driven feature generator.

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

PosTaggerFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PosTaggerFeatureGenerator instances when PosTaggerFeatureGeneratorFactory.create() is called.

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

POSTaggerME - Class in opennlp.tools.postag

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

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

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

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

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

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

Initializes a POSTaggerME with the provided model.

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

Initializes a POSTaggerME with the provided model.

POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds the token POS tag as feature.

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

Initializes a POSTaggerNameFeatureGenerator with the specified POSModel.

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

Initializes a POSTaggerNameFeatureGenerator with the specified POSTagger.

POSTaggerNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces POSTaggerNameFeatureGenerator instances when POSTaggerNameFeatureGeneratorFactory.create() is called.

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

predict(String) - Method in class opennlp.tools.sentiment.SentimentME

predict(String[]) - Method in class opennlp.tools.sentiment.SentimentME

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

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

predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Predict all possible lemmas (using a default upper bound).

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

predictSES(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Predict Short Edit Script (automatically induced lemma class).

PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen

A feature generator implementation that generates prefix-based features.

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

Intializes a default PrefixFeatureGenerator.

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

Intializes a PrefixFeatureGenerator with the specified prefixLength.

PrefixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PrefixFeatureGenerator instances when PrefixFeatureGeneratorFactory.create() is called.

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

PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator

PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen

This AdaptiveFeatureGenerator generates features indicating the outcome associated with a previously occurring word.

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

PreviousMapFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces PreviousMapFeatureGenerator instances when PreviousMapFeatureGeneratorFactory.create() is called.

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

PreviousTwoMapFeatureGenerator - Class in opennlp.tools.util.featuregen

This AdaptiveFeatureGenerator generates features indicating the outcome associated with two previously occurring words.

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

printf(String, Object...) - Method in class opennlp.tools.log.LogPrintStream

println(String) - Method in class opennlp.tools.log.LogPrintStream

probabilities(String[]) - Method in class opennlp.tools.sentiment.SentimentME

Returns the probability distribution over sentiment labels for the given tokens.

ProbingLanguageDetectionResult - Record Class in opennlp.tools.langdetect

A data container encapsulating language detection results.

ProbingLanguageDetectionResult(Language[], int) - Constructor for record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Creates an instance of a ProbingLanguageDetectionResult record class.

probingPredictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

probingPredictLanguages(CharSequence, LanguageDetectorConfig) - Method in class opennlp.tools.langdetect.LanguageDetectorME

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

probs() - Method in class opennlp.tools.chunker.ChunkerME

The sequence was determined based on the previous call to ChunkerME.chunk(String[], String[]).

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

probs() - Method in class opennlp.tools.lemmatizer.LemmatizerME

The sequence was determined based on the previous call to LemmatizerME.lemmatize(String[], String[]).

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

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

The sequence was determined based on the previous call to NameFinderME.find(String[]).

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

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

The sequence was determined based on the previous call to POSTaggerME.tag(String[]).

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

probs() - Method in class opennlp.tools.sentdetect.SentenceDetectorME

The sequence was determined based on the previous call to SentenceDetectorME.sentDetect(CharSequence).

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

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

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

The sequence was determined based on the previous call to TokenizerME.tokenizePos(String).

probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.namefind.NameFinderME

Populates the specified array with the probabilities of the last decoded sequence.

probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME

Populates the specified probs array with the probabilities for each tag of the last tagged sentence.

probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME

Retrieves an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.

processSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Evaluates the given reference sample.

processSample(LanguageSample) - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator

Evaluates the given reference LanguageSample object.

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

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

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

Adds the tokens to the dictionary as one new entry.

R

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

read() - Method in class opennlp.tools.chunker.ChunkSampleStream

read() - Method in class opennlp.tools.doccat.DocumentSampleStream

read() - Method in class opennlp.tools.langdetect.LanguageDetectorSampleStream

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

read() - Method in class opennlp.tools.lemmatizer.LemmaSampleStream

read() - Method in class opennlp.tools.namefind.NameSampleDataStream

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

read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter

read() - Method in class opennlp.tools.parser.ChunkSampleStream

read() - Method in class opennlp.tools.parser.ParseSampleStream

read() - Method in class opennlp.tools.parser.PosSampleStream

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

read() - Method in class opennlp.tools.postag.WordTagSampleStream

Reads the next tokens and parses it into the next POSSample object.

read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream

read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream

read() - Method in class opennlp.tools.sentiment.SentimentSampleStream

Reads the text.

read() - Method in class opennlp.tools.sentiment.SentimentSampleTypeFilter

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

read() - Method in class opennlp.tools.tokenize.TokenSampleStream

read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream

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

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

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

read() - Method in class opennlp.tools.util.EventTraceStream

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

Reads from the provided InputStream into a byte array.

recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern

reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream

RegexNameFinder - Class in opennlp.tools.namefind

A TokenNameFinder implementation based on a series of regular expressions.

RegexNameFinder(Map) - Constructor for class opennlp.tools.namefind.RegexNameFinder

Initializes a RegexNameFinder instance.

RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder

Initializes a RegexNameFinder instance.

RegexNameFinderFactory - Class in opennlp.tools.namefind

Returns a RegexNameFinder based on a selection of defaults or a configuration and a selection of defaults.

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

RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum Class in opennlp.tools.namefind

Enumeration of typical regex expressions available in OpenNLP.

RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind

register(Map) - Static method in class opennlp.tools.util.model.GenericModelSerializer

Registers a new GenericModelSerializer in the given factories mapping.

remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream

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

Removes the specified ngram is from a NGramCharModel.

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

Removes the given tokens form the current instance.

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

Removes the specified tokens form the NGram model, they are just dropped.

replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream

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

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

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

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

reset() - Method in class opennlp.tools.stemmer.PorterStemmer

reset() resets the stemmer so it can stem another word.

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

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

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

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

Resets the training sample.

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

RIGHT_LEFT_MATCHING - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Attaches the token to the right token on first occurrence, and to the token on the left side on the second occurrence.

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

romanianStemmer - Class in opennlp.tools.stemmer.snowball

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

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

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

russianStemmer - Class in opennlp.tools.stemmer.snowball

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

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

S

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

SDCrossValidator - Class in opennlp.tools.sentdetect

A cross validator for sentence detectors.

SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator

SDEventStream - Class in opennlp.tools.sentdetect

SDEventStream(ObjectStream, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream

Initializes the current instance.

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detects sentences in given input CharSequence..

sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th

Creates contexts/features for end-of-sentence detection in Thai text.

SentenceContextGenerator() - Constructor for class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator

SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect

The SentenceDetectorEvaluator measures the performance of the given SentenceDetector with the provided reference SentenceSamples.

SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorEvaluator

Initializes the current instance.

SentenceDetectorFactory - Class in opennlp.tools.sentdetect

The factory that provides SentenceDetector default implementations and resources

SentenceDetectorFactory() - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory

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

SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory

Creates a SentenceDetectorFactory.

SentenceDetectorME - Class in opennlp.tools.sentdetect

A sentence detector for splitting up raw text into sentences.

SentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Initializes the sentence detector by downloading a default model.

SentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Initializes the current instance.

SentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Instantiates a SentenceDetectorME with an existing SentenceModel.

SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.

Use a SentenceDetectorFactory to extend SentenceDetector functionality.

SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen

This feature generator creates sentence begin and end features.

SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator

SentenceFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces SentenceFeatureGenerator instances when SentenceFeatureGeneratorFactory.create() is called.

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

SentenceModel - Class in opennlp.tools.sentdetect

The SentenceModel is the model used by a learnable SentenceDetector.

SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid File.

SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid InputStream.

SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via given parameters.

SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid URL.

SentenceModel(Path) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Initializes a SentenceModel instance via a valid Path.

SentenceSampleStream - Class in opennlp.tools.sentdetect

This class is a stream filter which reads a sentence by line samples from an ObjectStream and converts them into SentenceSample objects.

SentenceSampleStream(ObjectStream) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream

SentimentContextGenerator - Class in opennlp.tools.sentiment

Class for using a Context Generator for Sentiment Analysis.

SentimentContextGenerator() - Constructor for class opennlp.tools.sentiment.SentimentContextGenerator

SentimentContextGenerator(AdaptiveFeatureGenerator[]) - Constructor for class opennlp.tools.sentiment.SentimentContextGenerator

SentimentCrossValidator - Class in opennlp.tools.sentiment

Class for performing cross validation on the Sentiment Analysis Parser.

SentimentCrossValidator(String, TrainingParameters, SentimentFactory, SentimentEvaluationMonitor[]) - Constructor for class opennlp.tools.sentiment.SentimentCrossValidator

Constructor

SentimentEvaluator - Class in opennlp.tools.sentiment

The SentimentEvaluator measures the performance of the given SentimentME with the provided reference SentimentSamples.

SentimentEvaluator(SentimentME, SentimentEvaluationMonitor...) - Constructor for class opennlp.tools.sentiment.SentimentEvaluator

Initializes the current instance.

SentimentEventStream - Class in opennlp.tools.sentiment

Class for creating events for Sentiment Analysis that is later sent to MaxEnt.

SentimentEventStream(ObjectStream, SentimentContextGenerator) - Constructor for class opennlp.tools.sentiment.SentimentEventStream

Instantiates a event stream.

SentimentFactory - Class in opennlp.tools.sentiment

Class for creating sentiment factories for training.

SentimentFactory() - Constructor for class opennlp.tools.sentiment.SentimentFactory

SentimentME - Class in opennlp.tools.sentiment

A SentimentDetector implementation for creating and using maximum-entropy-based Sentiment Analysis models.

SentimentME(SentimentModel) - Constructor for class opennlp.tools.sentiment.SentimentME

Instantiates a SentimentME with the specified model.

SentimentModel - Class in opennlp.tools.sentiment

Class for the basis of the Sentiment Analysis model.

SentimentModel(File) - Constructor for class opennlp.tools.sentiment.SentimentModel

Instantiates a SentimentModel model via a File reference.

SentimentModel(InputStream) - Constructor for class opennlp.tools.sentiment.SentimentModel

Instantiates a SentimentModel model via a InputStream reference.

SentimentModel(String, MaxentModel, Map, SentimentFactory) - Constructor for class opennlp.tools.sentiment.SentimentModel

Instantiates a SentimentModel model.

SentimentModel(URL) - Constructor for class opennlp.tools.sentiment.SentimentModel

Instantiates a SentimentModel model via a URL reference.

SentimentSampleStream - Class in opennlp.tools.sentiment

Class for converting Strings through Data Stream to SentimentSample using tokenised text.

SentimentSampleStream(ObjectStream) - Constructor for class opennlp.tools.sentiment.SentimentSampleStream

Instantiates a SentimentSampleStream object.

SentimentSampleTypeFilter - Class in opennlp.tools.sentiment

Class for creating a type filter.

SentimentSampleTypeFilter(String[], ObjectStream) - Constructor for class opennlp.tools.sentiment.SentimentSampleTypeFilter

Constructor

SentimentSampleTypeFilter(Set, ObjectStream) - Constructor for class opennlp.tools.sentiment.SentimentSampleTypeFilter

Instantiates a SentimentSampleTypeFilter object.

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detects the position of the first words of sentences in a CharSequence.

sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType

serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer

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

Serializes the model to the specified File.

serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary

Writes the current instance to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel

Writes the ngram instance to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary

Writes the POSDictionary to the given OutputStream;

serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary

Serializes the current state of a DetokenizationDictionary via an output stream.

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster

serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

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

Serializes the model to the given OutputStream.

serialize(OutputStream, Iterator, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Serializes the given entries to the given OutputStream.

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

Serializes the head rules via a Writer in a format suitable for loading the head rules again.

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

Serializes the head rules via a Writer in a format suitable for loading the head rules again.

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

Serializes the model to the specified Path.

serialize(ChunkerModel, OutputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer

serialize(Dictionary, OutputStream) - Method in class opennlp.tools.util.model.DictionarySerializer

serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer

serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer

serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer

serialize(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer

serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer

serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

setChunkSize(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

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

Sets the count of an existing ngram.

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

Sets the count of an existing ngram.

setCurrent(char[], int) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Set the current string.

setCurrent(String) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram

Set the current string.

setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator

setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator

setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser

Specifies whether the parser should report when it was unable to find a parse for a particular sentence.

setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory

setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.SimpleTokenizer

setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.TokenizerME

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

setMaxLength(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setMinConsecImprovements(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

setMinDiff(double) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig

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

Assigns parent references for the specified parse so that they are consistent with the children references.

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

setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory

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

Sets a key/value pair.

ShrinkCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A ShrinkCharSequenceNormalizer implementation that shrinks repeated spaces / chars in text.

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

SimpleTokenizer - Class in opennlp.tools.tokenize

A basic Tokenizer implementation which performs tokenization using character classes.

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

size() - Method in class opennlp.tools.ngram.NGramCharModel

Retrieves the number of entries in a NGramCharModel.

size() - Method in class opennlp.tools.ngram.NGramModel

Retrieves the number of StringList entries in the current instance.

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

SnowballProgram - Class in opennlp.tools.stemmer.snowball

Base class for a snowball stemmer

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

SnowballStemmer - Class in opennlp.tools.stemmer.snowball

SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer

SnowballStemmer.ALGORITHM - Enum Class in opennlp.tools.stemmer.snowball

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

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

spanishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME

Constant indicates a sentence split.

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

Constant indicates a token split.

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

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

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

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

Prefix for outcomes starting a constituent.

stem() - Method in class opennlp.tools.stemmer.PorterStemmer

Stem the word placed into the Stemmer buffer through calls to add().

stem() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.danishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.dutchStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.englishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.finnishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.frenchStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.germanStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.greekStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer

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

stem() - Method in class opennlp.tools.stemmer.snowball.italianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.porterStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.romanianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.russianStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.spanishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.swedishStemmer

stem() - Method in class opennlp.tools.stemmer.snowball.turkishStemmer

stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a char[].

stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a leading portion of a char[] array.

stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a portion of a char[] array.

stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer

stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a CharSequence.

stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer

stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a String.

StringInterners - Class in opennlp.tools.util.jvm

Provides string interning utility methods.

StringInterners() - Constructor for class opennlp.tools.util.jvm.StringInterners

StringList - Class in opennlp.tools.util

A StringList is an immutable list of Strings.

StringList(boolean, String...) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringList(String) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringList(String...) - Constructor for class opennlp.tools.util.StringList

Initializes a StringList instance.

StringPattern - Class in opennlp.tools.util.featuregen

Recognizes predefined patterns in strings.

SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen

A feature generator implementation that generates suffix-based features.

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

Intializes a SuffixFeatureGenerator.

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

Intializes a SuffixFeatureGenerator with the specified suffixLength.

SuffixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces SuffixFeatureGenerator instances when SuffixFeatureGeneratorFactory.create() is called.

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

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

swedishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

T

tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME

Returns at most the specified numTaggings for the specified sentence.

tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME

tag(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

tag(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

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

ThreadSafeChunkerME - Class in opennlp.tools.chunker

A thread-safe version of the ChunkerME.

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

Initializes a ThreadSafeChunkerME with the specified model.

ThreadSafeLanguageDetectorME - Class in opennlp.tools.langdetect

A thread-safe version of the LanguageDetectorME.

ThreadSafeLanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME

Initializes a ThreadSafeLanguageDetectorME with the specified model.

ThreadSafeLemmatizerME - Class in opennlp.tools.lemmatizer

A thread-safe version of the LemmatizerME.

ThreadSafeLemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME

Initializes a ThreadSafeLemmatizerME with the specified model.

ThreadSafeNameFinderME - Class in opennlp.tools.namefind

A thread-safe version of NameFinderME.

ThreadSafeNameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.ThreadSafeNameFinderME

Initializes a ThreadSafeNameFinderME with the specified model.

ThreadSafePOSTaggerME - Class in opennlp.tools.postag

A thread-safe version of the POSTaggerME.

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

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

ThreadSafePOSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

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

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

Initializes a ThreadSafePOSTaggerME with the specified model.

ThreadSafePOSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME

Initializes a ThreadSafePOSTaggerME with the specified model.

ThreadSafeSentenceDetectorME - Class in opennlp.tools.sentdetect

A thread-safe version of SentenceDetectorME.

ThreadSafeSentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

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

ThreadSafeSentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Initializes a ThreadSafeSentenceDetectorME with the specified model.

ThreadSafeSentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME

Instantiates a ThreadSafeSentenceDetectorME with an existing SentenceModel.

ThreadSafeTokenizerME - Class in opennlp.tools.tokenize

A thread-safe version of TokenizerME.

ThreadSafeTokenizerME(String) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

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

ThreadSafeTokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

Initializes a ThreadSafeTokenizerME with the specified model.

ThreadSafeTokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME

Instantiates a ThreadSafeTokenizerME with an existing TokenizerModel.

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

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

toDictionary() - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contain all StringList which are in the current NGramModel.

toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contains all StringLists which are in the current NGramModel.

TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates features for the class of a token.

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

Initalizes a TokenClassFeatureGenerator which won't generate the w&c feature per token.

TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator

Initalizes a TokenClassFeatureGenerator.

TokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TokenClassFeatureGenerator instances when TokenClassFeatureGeneratorFactory.create() is called.

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

tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil

Generates a class name for the specified token.

TokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates a feature which contains a token itself.

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

Initializes a TokenFeatureGenerator.

TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator

Initializes a TokenFeatureGenerator.

TokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TokenFeatureGenerator instances when TokenFeatureGeneratorFactory.create() is called.

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

tokenize(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer

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

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

tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer

tokenizePos(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME

tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME

Tokenizes the string.

TokenizerCrossValidator - Class in opennlp.tools.tokenize

A cross validator for tokenizers.

TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator

Creates a TokenizerCrossValidator using the given TokenizerFactory.

TokenizerEvaluator - Class in opennlp.tools.tokenize

The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference samples.

TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator

Initializes an instance to evaluate a Tokenizer.

TokenizerFactory - Class in opennlp.tools.tokenize

The factory that provides Tokenizer default implementation and resources.

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

Instantiates a TokenizerFactory that provides the default implementation of the resources.

TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory

Instantiates a TokenizerFactory.

TokenizerME - Class in opennlp.tools.tokenize

A Tokenizer for converting raw text into separated tokens.

TokenizerME(String) - Constructor for class opennlp.tools.tokenize.TokenizerME

Initializes a TokenizerME by downloading a default model.

TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME

Instantiates a TokenizerME with an existing TokenizerModel.

TokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.TokenizerME

Instantiates a TokenizerME with an existing TokenizerModel.

TokenizerModel - Class in opennlp.tools.tokenize

The TokenizerModel is the model used by a learnable Tokenizer.

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

Initializes a TokenizerModel instance via a valid File.

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

Initializes a TokenizerModel instance via a valid InputStream.

TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a valid URL.

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

Initializes a TokenizerModel instance via a valid Path.

TokenizerModel(MaxentModel, Map, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes a TokenizerModel instance via a MaxentModel and related resources.

TokenizerStream - Class in opennlp.tools.tokenize

The TokenizerStream uses a Tokenizer to tokenize the input string and output samples.

TokenizerStream(Tokenizer, ObjectStream) - Constructor for class opennlp.tools.tokenize.TokenizerStream

Initializes a instance.

TokenNameFinderCrossValidator - Class in opennlp.tools.namefind

Cross validator for TokenNameFinder.

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map, SequenceCodec, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Initializes a TokenNameFinderCrossValidator with the given parameters.

TokenNameFinderEvaluator - Class in opennlp.tools.namefind

The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided reference samples.

TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator

Initializes a TokenNameFinderEvaluator for a given TokenNameFinder.

TokenNameFinderFactory - Class in opennlp.tools.namefind

The factory that provides TokenNameFinder default implementations and resources.

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

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

TokenNameFinderFactory(byte[], Map, SequenceCodec) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory

Initializes a TokenNameFinderFactory instance via given parameters.

TokenNameFinderModel - Class in opennlp.tools.namefind

The TokenNameFinderModel is the model used by a learnable TokenNameFinder.

TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid File.

TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid InputStream.

TokenNameFinderModel(String, MaxentModel, byte[], Map, Map) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, int, byte[], Map, Map) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, int, byte[], Map, Map, SequenceCodec, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, MaxentModel, Map, Map) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(String, SequenceClassificationModel, byte[], Map, Map, SequenceCodec, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via given parameters.

TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid URL.

TokenNameFinderModel(Path) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel

Initializes a TokenNameFinderModel instance via a valid Path.

TokenNameFinderModel.FeatureGeneratorCreationError - Exception Class in opennlp.tools.namefind

TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen

Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.

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

Initializes a TokenPatternFeatureGenerator.

TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

Initializes a TokenPatternFeatureGenerator instance.

TokenPatternFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory instantiates TokenPatternFeatureGenerator instances when TokenPatternFeatureGeneratorFactory.create() is called.

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

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

Returns the value of the tokens record component.

TokenSampleStream - Class in opennlp.tools.tokenize.lang.en

Class which produces an Iterator<TokenSample> from a file of space delimited token.

TokenSampleStream - Class in opennlp.tools.tokenize

This class is a stream filter which reads in string encoded samples and creates samples out of them.

TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream

TokenSampleStream(ObjectStream) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

Initializes a instance.

TokenSampleStream(ObjectStream, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream

Initializes a instance.

TokSpanEventStream - Class in opennlp.tools.tokenize

This class reads the samples via an Iterator and converts the samples into events which can be used by the maxent library for training.

TokSpanEventStream(ObjectStream, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator that relies on a DefaultTokenContextGenerator.

TokSpanEventStream(ObjectStream, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator.

TokSpanEventStream(ObjectStream, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes a new event stream based on the data stream using a TokenContextGenerator.

topKLemmaClasses(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKLemmaClasses(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME

topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME

topKSequences(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME

topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME

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

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

topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME

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

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

topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME

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

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

Returns a string representation of this record class.

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

Represents this object as human-readable String.

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

Represents this object as human-readable String.

toString() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult

Returns a string representation of this record class.

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

Returns this object's human-readable String representation.

toString() - Method in class opennlp.tools.ngram.NGramCharModel

toString() - Method in class opennlp.tools.ngram.NGramModel

toString() - Method in class opennlp.tools.postag.POSDictionary

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

Represents this object as human-readable String.

toString() - Method in class opennlp.tools.stemmer.PorterStemmer

After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)

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

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

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

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

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

The Version.parse(String) method can create an instance of Version with the returned version value string.

train(String, String, ObjectStream, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME

Starts a training of a TokenNameFinderModel with the given parameters.

train(String, ObjectStream, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME

Starts a training of a ChunkerModel with the given parameters.

train(String, ObjectStream, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME

Starts a training of a DoccatModel with the given parameters.

train(String, ObjectStream, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME

Starts a training of a LemmatizerModel with the given parameters.

train(String, ObjectStream, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser

Starts a training of a ParserModel.

train(String, ObjectStream, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser

Starts a training of a ParserModel.

train(String, ObjectStream, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser

Starts a training of a ParserModel.

train(String, ObjectStream, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME

Starts a training of a POSModel with the given parameters.

train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Starts a training of a SentenceModel with the given parameters.

train(String, ObjectStream, TrainingParameters, SentimentFactory) - Static method in class opennlp.tools.sentiment.SentimentME

Trains a Sentiment Analysis model.

train(ObjectStream, TrainingParameters, LanguageDetectorFactory) - Static method in class opennlp.tools.langdetect.LanguageDetectorME

Starts a training of a LanguageDetectorModel with the given parameters.

train(ObjectStream, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME

Trains a model for the TokenizerME.

TrainerFactory - Class in opennlp.tools.ml

A factory to initialize Trainer instances depending on a trainer type configured via Parameters.

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

TrainerFactory.TrainerType - Enum Class in opennlp.tools.ml

TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel

TrigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds trigram features based on tokens and token classes.

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

TrigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces TrigramNameFeatureGenerator instances when TrigramNameFeatureGeneratorFactory.create() is called.

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

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

turkishStemmer - Class in opennlp.tools.stemmer.snowball

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

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

TwitterCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A TwitterCharSequenceNormalizer implementation that normalizes text in terms of Twitter character patterns.

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

U

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

UncloseableInputStream - Class in opennlp.tools.util.model

An InputStream which cannot be closed.

UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream

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

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

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.sentiment.SentimentContextGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator

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

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

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

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator

updateBuildModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified buildModel for exchange.

updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified checkModel for exchange.

updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified chunkModel for exchange.

updateContext(Sequence, MaxentModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream

updateContext(Sequence, MaxentModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream

updateContext(Sequence, MaxentModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream

updateContext(Sequence, MaxentModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream

updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel

Instantiates a new ParserModel instance from the existing configuration with the specified taggerModel for exchange.

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

UrlCharSequenceNormalizer - Class in opennlp.tools.util.normalizer

A UrlCharSequenceNormalizer implementation that normalizes text in terms of URls and email addresses.

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

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

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

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

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

V

validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory

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

validateArtifactMap() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory

validateArtifactMap() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory

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

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

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

validateArtifactMap() - Method in class opennlp.tools.sentiment.SentimentFactory

Validates the artifact map --> nothing to validate.

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

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

Validates the parsed artifacts.

validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil

Checks if the expectedOutcomes are all contained as outcomes in the given model.

validSequence(int, String[], String[], String) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.BilouNameFinderSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator

validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator

valueOf(String) - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.postag.POSTagFormat

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns the enum constant of this class with the specified name.

values() - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.postag.POSTagFormat

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns an array containing the constants of this enum class, in the order they are declared.

Version - Class in opennlp.tools.util

The Version class represents the OpenNLP Tools library version.

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

Initializes a Version instance with the provided version elements.

Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version

Initializes a Version instance with the provided version elements.

W

WhitespaceTokenStream - Class in opennlp.tools.tokenize

This stream formats ObjectStream of samples into whitespace separated token strings.

WhitespaceTokenStream(ObjectStream) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream

Initializes a WhitespaceTokenStream.

WindowFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates previous (left-sided) and next (right-sided) features for a given AdaptiveFeatureGenerator.

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

Initializes a WindowFeatureGenerator with the given parameters.

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

Initializes a WindowFeatureGenerator.

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

Initializes a WindowFeatureGenerator.

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

Initializes a WindowFeatureGenerator with the given parameters.

WindowFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

A GeneratorFactory that produces WindowFeatureGenerator instances when WindowFeatureGeneratorFactory.create() is called.

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

WordClusterDictionary - Class in opennlp.tools.util.featuregen

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

Read word2vec and clark clustering style lexicons.

WordClusterDictionary.WordClusterDictionarySerializer - Class in opennlp.tools.util.featuregen

WordClusterDictionarySerializer() - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer

WordClusterFeatureGenerator - Class in opennlp.tools.util.featuregen

An AdaptiveFeatureGenerator implementation of a word cluster feature generator.

WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator

Instantiates a WordClusterFeatureGenerator via a specified WordClusterDictionary.

WordClusterFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen

Defines a word cluster GeneratorFactory; it reads an element containing 'w2vwordcluster' as a tag name.

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

WordTagSampleStream - Class in opennlp.tools.postag

A stream filter which reads a sentence per line that contains words and tags in word_tag format and outputs a POSSample objects.

WordTagSampleStream(ObjectStream) - Constructor for class opennlp.tools.postag.WordTagSampleStream

Initializes a POSSample instance.

writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Writes the given MaxentModel to the specified OutputStream.

X

XmlUtil - Class in opennlp.tools.util

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

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