Index (Apache OpenNLP Tools 1.8.0 API)

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

A

AbstractBottomUpParser - Class in opennlp.tools.parser: Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser
AbstractContextGenerator - Class in opennlp.tools.parser: Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator
AbstractDataIndexer - Class in opennlp.tools.ml.model: Abstract class for collecting event and context counts used in training.
AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer
AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml
AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer
AbstractEventStream<T> - Class in opennlp.tools.util
AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream: Initializes the current instance with a sample Iterator.
AbstractEventTrainer - Class in opennlp.tools.ml
AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractEventTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractModel - Class in opennlp.tools.ml.model
AbstractModel(Context[], String[], Map<String, Integer>, String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel: Deprecated.
this will be removed in 1.8.1, pmap should be private
AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel
AbstractModel.ModelType - Enum in opennlp.tools.ml.model
AbstractModelReader - Class in opennlp.tools.ml.model
AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
AbstractModelWriter - Class in opennlp.tools.ml.model
AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter
AbstractObjectStream<T> - Class in opennlp.tools.util
AbstractParserEventStream - Class in opennlp.tools.parser: Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractSampleStreamFactory<T> - Class in opennlp.tools.formats: Base class for sample stream factories.
AbstractSequenceTrainer - Class in opennlp.tools.ml
AbstractSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractSequenceTrainer
AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert
AbstractTrainer - Class in opennlp.tools.ml
AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer
AbstractTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractTrainer
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen: An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Class in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream: Creates a new NameSample stream from a line stream, i.e.
ADChunkSampleStream(InputStreamFactory, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
add(StringList) - Method in class opennlp.tools.ngram.NGramModel: Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel: Adds NGrams up to the specified length to the current instance.
add(String, int, int) - Method in class opennlp.tools.ngram.NGramModel: Adds character NGrams to the current instance.
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
add(char) - Method in class opennlp.tools.stemmer.PorterStemmer: Add a character to the word being stemmed.
add(double) - Method in class opennlp.tools.util.eval.Mean: Adds a value to the arithmetic mean.
add(double, long) - Method in class opennlp.tools.util.eval.Mean: Adds a value count times to the arithmetic mean.
add(E) - Method in interface opennlp.tools.util.Heap: Deprecated.

Adds the specified object to the heap.
add(E) - Method in class opennlp.tools.util.ListHeap: Deprecated.
add(String, double) - Method in class opennlp.tools.util.Sequence: Adds an outcome and probability to this sequence.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil
addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator: Adds a feature generator to this set of feature generators.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Compounds the existing probability mass on the label with the new probability passed in to the method.
additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream: Generated previous decision features for each token based on contents of the specified map.
AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen: The AdditionalContextFeatureGenerator generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse: Utility method to inserts named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse: Designates that the specified punctuation follows this parse.
addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse: Designates that the specified punctuation should is prior to this parse.
addProb(double) - Method in class opennlp.tools.parser.Parse: Adds the specified probability log to this current log for this parse.
adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse: Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse
ADNameSampleStream - Class in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream: Creates a new NameSample stream from a line stream, i.e.
ADNameSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream: Deprecated.
ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADPOSSampleStream - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new POSSample stream from a line stream, i.e.
ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new POSSample stream from a InputStream
ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream: Creates a new SentenceSample stream from a line stream, i.e.
ADSentenceSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream: Creates a new SentenceSample stream from a FileInputStream
ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceStream - Class in opennlp.tools.formats.ad: Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
ADSentenceStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADSentenceStream
ADSentenceStream.Sentence - Class in opennlp.tools.formats.ad
ADSentenceStream.SentenceParser - Class in opennlp.tools.formats.ad: Parses a sample of AD corpus.
ADSentenceStream.SentenceParser.Leaf - Class in opennlp.tools.formats.ad: Represents the AD leaf
ADSentenceStream.SentenceParser.Node - Class in opennlp.tools.formats.ad: Represents the AD node
ADSentenceStream.SentenceParser.TreeElement - Class in opennlp.tools.formats.ad: Represents a tree element, Node or Leaf
ADTokenSampleStreamFactory - Class in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen: The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features.
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Initializes the current instance.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
algorithm(String) - Method in class opennlp.tools.util.TrainingParameters: Retrieves the training algorithm name for a given name space.
algorithm() - Method in class opennlp.tools.util.TrainingParameters: Retrieves the training algorithm name.
ALGORITHM_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
alphaNumeric - Static variable in class opennlp.tools.tokenize.TokenizerME: Deprecated.
As of release 1.5.2, replaced by Factory.getAlphanumeric(String)
AncoraSpanishHeadRules - Class in opennlp.tools.parser.lang.es: Class for storing the Ancora Spanish head rules associated with parsing.
AncoraSpanishHeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules: Creates a new set of head rules based on the specified reader.
AncoraSpanishHeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.es
AnnotationConfiguration - Class in opennlp.tools.formats.brat
AnnotationConfiguration(Map<String, String>) - Constructor for class opennlp.tools.formats.brat.AnnotationConfiguration
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BilouCodec: B requires CL or L C requires BL L requires B O requires any valid combo/unit U requires none
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BioCodec
areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec: Checks if the outcomes of the model are compatible with the codec.
ArrayMath - Class in opennlp.tools.ml.maxent.quasinewton: Utility class for simple vector arithmetic.
ArrayMath() - Constructor for class opennlp.tools.ml.maxent.quasinewton.ArrayMath
ArtifactProvider - Interface in opennlp.tools.util.model: Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model: Responsible to create an artifact from an InputStream.
ArtifactToSerializerMapper - Interface in opennlp.tools.util.featuregen
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary: Gets this dictionary as a Set<String>.
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator
ATTRIBUTE_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
AttributeAnnotation - Class in opennlp.tools.formats.brat
Attributes - Class in opennlp.tools.dictionary.serializer: The Attributes class stores name value pairs.
Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes

B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat: Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator
BaseLink - Class in opennlp.tools.entitylinker: Stores a minimal tuple of information.
BaseLink() - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseModel - Class in opennlp.tools.util.model: This model is a common based which can be used by the components model classes.
BaseToolFactory - Class in opennlp.tools.util: Base class for all tool factories.
BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory: All sub-classes should have an empty constructor
BasicContextGenerator - Class in opennlp.tools.ml.maxent: Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.
BasicContextGenerator() - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BasicContextGenerator(String) - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch
BeamSearch<T> - Class in opennlp.tools.ml: Performs k-best search over sequence.
BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch: Creates new search object.
BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util: Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the sequence with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch: Returns the best sequence of outcomes based on model for this object.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences.
BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
BilouCodec - Class in opennlp.tools.namefind
BilouCodec() - Constructor for class opennlp.tools.namefind.BilouCodec
BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind
BilouNameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.BilouNameFinderSequenceValidator
BinaryFileDataReader - Class in opennlp.tools.ml.model
BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryGISModelReader - Class in opennlp.tools.ml.maxent.io: A reader for GIS models stored in binary format.
BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelReader: Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryGISModelWriter - Class in opennlp.tools.ml.maxent.io: Model writer that saves models in binary format.
BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Constructor which takes a File and creates a reader for it.
BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: Model writer that saves models in binary format.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Constructor which takes a NaiveBayesModel and a File and prepares itself to write the model to that file.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Constructor which takes a NaiveBayesModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron
BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryPerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Constructor which takes a File and creates a reader for it.
BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron: Model writer that saves models in binary format.
BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryQNModelReader - Class in opennlp.tools.ml.maxent.io: A reader for quasi-newton models stored in binary format.
BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelReader: Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryQNModelWriter - Class in opennlp.tools.ml.maxent.io
BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BioCodec - Class in opennlp.tools.namefind
BioCodec() - Constructor for class opennlp.tools.namefind.BioCodec
BioNLP2004NameSampleStream - Class in opennlp.tools.formats: Parser for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStreamFactory, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream
BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse
BratAnnotation - Class in opennlp.tools.formats.brat
BratAnnotationStream - Class in opennlp.tools.formats.brat: Reads the annotations from the brat .ann annotation file.
BratDocument - Class in opennlp.tools.formats.brat
BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Constructor for class opennlp.tools.formats.brat.BratDocument
BratDocumentStream - Class in opennlp.tools.formats.brat
BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.brat.BratDocumentStream: Creates a BratDocumentStream which reads the documents from the given input directory.
BratNameSampleStream - Class in opennlp.tools.formats.brat: Generates Name Sample objects for a Brat Document object.
BratNameSampleStreamFactory - Class in opennlp.tools.formats.brat
BrownBigramFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates Brown cluster features for token bigrams.
BrownBigramFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator: Creates a new Brown Cluster bigram feature generator.
BrownCluster - Class in opennlp.tools.util.featuregen: Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize.com/projects/wordreprs/ The file containing the clustering lexicon has to be passed as the value of the dict attribute of each BrownCluster feature generator.
BrownCluster(InputStream) - Constructor for class opennlp.tools.util.featuregen.BrownCluster: Generates the token to cluster map from Brown cluster input file.
BrownCluster.BrownClusterSerializer - Class in opennlp.tools.util.featuregen
BrownClusterSerializer() - Constructor for class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
BrownTokenClasses - Class in opennlp.tools.util.featuregen: Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Constructor for class opennlp.tools.util.featuregen.BrownTokenClasses
BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates Brown cluster features for current token and token class.
BrownTokenClassFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates Brown cluster features for current token.
BrownTokenFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
BuildContextGenerator - Class in opennlp.tools.parser.chunking: Class to generator predictive contexts for deciding how constituents should be combined together.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator: Creates a new context generator for making decisions about combining constitients togehter.
BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
BuildContextGenerator - Class in opennlp.tools.parser.treeinsert: Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME
BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser: Label used to distinguish build nodes from non-built nodes.
ByteArraySerializer - Class in opennlp.tools.util.model
ByteArraySerializer() - Constructor for class opennlp.tools.util.model.ByteArraySerializer

C

Cache<K,V> - Class in opennlp.tools.util: Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
CachedFeatureGenerator - Class in opennlp.tools.util.featuregen: Caches features of the aggregated AdaptiveFeatureGenerators.
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
calculateBigramMLProbability(String, String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
calculateHashSum() - Method in class opennlp.tools.ml.model.HashSumEventStream: Calculates the hash sum of the stream.
calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
calculateMissingNgramProbabilityMass(StringList, Double, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
calculateNgramMLProbability(StringList, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
calculateProbability(StringList) - Method in interface opennlp.tools.languagemodel.LanguageModel: Calculate the probability of a series of tokens (e.g.
calculateProbability(StringList) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
calculateUnigramMLProbability(String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils: calculate the probability of a unigram in a vocabulary using maximum likelihood estimation
categorize(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorize the given text provided as tokens along with the provided extra information
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text, provided in separate tokens.
categorize(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.DocumentCategorizerME: Categorize the given text provided as tokens along with the provided extra information
categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME: Categorizes the given text.
CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen: The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator: Initializes the current instance with min 2 length and max 5 length of ngrams.
characters(char[], int, int) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
CheckContextGenerator - Class in opennlp.tools.parser.chunking: Class for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator: Creates a new context generator for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator - Class in opennlp.tools.parser.treeinsert
CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator
checkModelType() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
checkModelType() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader
checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader
checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
checkModelType() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Generates chunk tags for the given sequence returning the result in an array.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker: Generates tagged chunk spans for the given sequence returning the result in a span array.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
ChunkContextGenerator - Class in opennlp.tools.parser: Creates predivtive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator
ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator
Chunker - Interface in opennlp.tools.chunker: The interface for chunkers which provide chunk tags for a sequence of tokens.
ChunkerContextGenerator - Interface in opennlp.tools.chunker: Interface for the context generator used in syntactic chunking.
ChunkerCrossValidator - Class in opennlp.tools.chunker
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker
ChunkerEvaluator - Class in opennlp.tools.chunker: The ChunkerEvaluator measures the performance of the given Chunker with the provided reference ChunkSamples.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator: Initializes the current instance with the given Chunker.
ChunkerEventStream - Class in opennlp.tools.chunker: Class for creating an event stream out of data files for training a chunker.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream: Creates a new event stream based on the specified data stream using the specified context generator.
ChunkerFactory - Class in opennlp.tools.chunker
ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory: Creates a ChunkerFactory that provides the default implementation of the resources.
ChunkerME - Class in opennlp.tools.chunker: The class represents a maximum-entropy-based chunker.
ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME: Initializes the current instance with the specified model.
ChunkerModel - Class in opennlp.tools.chunker: The ChunkerModel is the model used by a learnable Chunker.
ChunkerModel(String, SequenceClassificationModel<String>, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModelSerializer - Class in opennlp.tools.util.model
ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer
ChunkerSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP ChunkSampleStreams.
ChunkSample - Class in opennlp.tools.chunker: Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample: Initializes the current instance.
ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample: Initializes the current instance.
ChunkSampleSequenceStream - Class in opennlp.tools.chunker
ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkSampleSequenceStream
ChunkSampleStream - Class in opennlp.tools.chunker: Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream: Initializes the current instance.
ChunkSampleStream - Class in opennlp.tools.parser
ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream
clear() - Method in interface opennlp.tools.util.Heap: Deprecated.

Clears the contents of the heap.
clear() - Method in class opennlp.tools.util.ListHeap: Deprecated.
clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME: Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder: Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.clearAdaptiveData() method on all aggregated AdaptiveFeatureGenerators.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator: Clears the previous map.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator: Clears the previous map.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
clone() - Method in class opennlp.tools.parser.Parse
clone(Parse) - Method in class opennlp.tools.parser.Parse: Clones the right frontier of parse up to the specified node.
cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse: Clones the right frontier of this root parse up to and including the specified node.
close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
close() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
close() - Method in class opennlp.tools.formats.brat.BratDocumentStream
close() - Method in class opennlp.tools.formats.Conll02NameSampleStream
close() - Method in class opennlp.tools.formats.Conll03NameSampleStream
close() - Method in class opennlp.tools.formats.conllu.ConlluStream
close() - Method in class opennlp.tools.formats.DirectorySampleStream: Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
close() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
close() - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
close() - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
close() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
close() - Method in class opennlp.tools.ml.model.AbstractModelWriter
close() - Method in class opennlp.tools.ml.model.FileEventStream
close() - Method in class opennlp.tools.ml.model.GenericModelWriter
close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
close() - Method in class opennlp.tools.postag.POSSampleSequenceStream
close() - Method in class opennlp.tools.tokenize.TokenizerStream
close() - Method in class opennlp.tools.util.AbstractEventStream
close() - Method in class opennlp.tools.util.AbstractObjectStream
close() - Method in class opennlp.tools.util.CollectionObjectStream
close() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
close() - Method in class opennlp.tools.util.FilterObjectStream
close() - Method in class opennlp.tools.util.model.UncloseableInputStream: This method does not has any effect the InputStream cannot be closed.
close() - Method in interface opennlp.tools.util.ObjectStream: Closes the ObjectStream and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser: Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
CollectionObjectStream<E> - Class in opennlp.tools.util
CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream
ComparableEvent - Class in opennlp.tools.ml.model: A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparablePredicate - Class in opennlp.tools.ml.model: A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate
compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent
compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate
compareTo(Parse) - Method in class opennlp.tools.parser.Parse
compareTo(Sequence) - Method in class opennlp.tools.util.Sequence
compareTo(Span) - Method in class opennlp.tools.util.Span: Compares the specified span to the current span.
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList: Compares to tokens list and ignores the case of the tokens.
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is complete.
complete() - Method in class opennlp.tools.parser.Parse: Returns whether this parse is complete.
computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil: Computes the Shortest Edit Script (SES) to convert a word into its lemma.
ConfigurablePOSContextGenerator - Class in opennlp.tools.postag: A context generator for the POS Tagger.
ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes the current instance.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes the current instance.
Conll02NameSampleStream - Class in opennlp.tools.formats: Parser for the dutch and spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
Conll02NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
Conll02NameSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
Conll03NameSampleStream - Class in opennlp.tools.formats: An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
Conll03NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
Conll03NameSampleStreamFactory - Class in opennlp.tools.formats
CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
ConlluLemmaSampleStream - Class in opennlp.tools.formats.conllu
ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu
ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluSentence - Class in opennlp.tools.formats.conllu
ConlluStream - Class in opennlp.tools.formats.conllu: The CoNNL-U Format is specified here: http://universaldependencies.org/format.html
ConlluStream(InputStreamFactory) - Constructor for class opennlp.tools.formats.conllu.ConlluStream
ConlluTagset - Enum in opennlp.tools.formats.conllu
ConlluWordLine - Class in opennlp.tools.formats.conllu
CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
ConllXPOSSampleStream - Class in opennlp.tools.formats: Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
ConllXPOSSampleStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
Cons - Class in opennlp.tools.parser: Class to hold feature information about a specific parse node.
Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons
ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank
ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank
Constituent - Class in opennlp.tools.parser: Class used to hold constituents when reading parses.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
constructModel() - Method in class opennlp.tools.ml.maxent.io.GISModelReader: Retrieve a model from disk.
constructModel() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader
constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Retrieve a model from disk.
constructModel() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader: Retrieve a model from disk.
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Prefix for outcomes continuing a constituent.
contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary: Checks if this dictionary has the given entry.
contains(String) - Method in class opennlp.tools.dictionary.Index: Checks if at leat one StringList contains the given token.
contains(int) - Method in class opennlp.tools.ml.model.MutableContext
contains(StringList) - Method in class opennlp.tools.ngram.NGramModel: Checks fit he given tokens are contained by the current instance.
contains(Span) - Method in class opennlp.tools.util.Span: Returns true if the specified span is contained by this span.
contains(int) - Method in class opennlp.tools.util.Span: Returns true if the specified index is contained inside this span.
containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern
containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern
containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern
containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern
containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern
ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler
Context - Class in opennlp.tools.ml.model: Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Constructor for class opennlp.tools.ml.model.Context: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
ContextGenerator<T> - Interface in opennlp.tools.ml.maxent: Generate contexts for maxent decisions.
CONTINUE - Static variable in class opennlp.tools.namefind.BilouCodec
CONTINUE - Static variable in class opennlp.tools.namefind.BioCodec
CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME
CONVERGE_TOLERANCE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
count() - Method in class opennlp.tools.util.eval.Mean: Retrieves the number of times a value was added to the mean.
create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory
create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor: Creates Entrys from the given InputStream and forwards these Entrys to the EntryInserter.
create(String, FeatureGenerator[]) - Static method in class opennlp.tools.doccat.DoccatFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LeipzigDocumentSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory
create(String) - Static method in class opennlp.tools.lemmatizer.LemmatizerFactory
create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
create(InputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
create(InputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory
create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory
create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary: Creates a new POSDictionary from a provided InputStream.
create(String, Dictionary, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory: Deprecated.
create(String, byte[], Map<String, Object>, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory
create(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory
create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory: Factory method the framework uses create a new TokenizerFactory.
create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
create(InputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory: Creates an AdaptiveFeatureGenerator from an provided XML descriptor.
create(InputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer: Creates the artifact from the provided InputStream.
create(InputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
create(InputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
create(String[], String[]) - Static method in class opennlp.tools.util.TokenTag
createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory: Creates a Map with pairs of keys and objects.
createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel: Create the artifact serializers.
createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory: Creates a Map with pairs of keys and ArtifactSerializer.
createContextGenerator() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil: Creates the default training parameters in case they are not provided.
createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderFactory: Creates the AdaptiveFeatureGenerator.
createFeatureGenerators() - Method in class opennlp.tools.postag.POSTaggerFactory: Creates the AdaptiveFeatureGenerator.
createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[]) method on all aggregated AdaptiveFeatureGenerators.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.InSpanGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
createInputStream() - Method in interface opennlp.tools.util.InputStreamFactory
createInputStream() - Method in class opennlp.tools.util.MarkableFileInputStreamFactory
createManifestEntries() - Method in class opennlp.tools.doccat.DoccatFactory
createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory
createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory: Creates the manifest entries that will be added to the model manifest
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form an array.
createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form a collection.
createObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual ObjectStreams with the same type.
createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createSequenceValidator() - Method in class opennlp.tools.namefind.BilouCodec
createSequenceValidator() - Method in class opennlp.tools.namefind.BioCodec
createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec: Creates a sequence validator which can validate a sequence of outcomes.
createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory
createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory
createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory
crosses(Span) - Method in class opennlp.tools.util.Span: Returns true is the specified span crosses this span.
CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval: Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner: Initializes the current instance.
CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner: Initializes the current instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval: The TrainingSampleStream which iterates over all training elements.
currentVersion() - Static method in class opennlp.tools.util.Version: Retrieves the current version of the OpenNlp Tools library.
CustomFeatureGenerator - Class in opennlp.tools.util.featuregen
CustomFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CustomFeatureGenerator
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel: Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
CUTOFF_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
CUTOFF_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
CUTOFF_PARAM - Static variable in class opennlp.tools.util.TrainingParameters

D

DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DataIndexer - Interface in opennlp.tools.ml.model: Object which compresses events in memory and performs feature selection.
DataIndexerFactory - Class in opennlp.tools.ml.model
DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory
DataReader - Interface in opennlp.tools.ml.model
DataStream - Interface in opennlp.tools.ml.maxent: A interface for objects which can deliver a stream of training data to be supplied to an EventStream.
decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec
decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec
decode(List<T>) - Method in interface opennlp.tools.util.SequenceCodec: Decodes a sequence T objects into Span objects.
decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME: Decodes the lemma from the word and the induced lemma class.
decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil: Read predicted SES by the lemmatizer model and apply the permutations to obtain the lemma from the wordForm.
DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample: The a default type value when there is no type in training data.
defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Class in opennlp.tools.chunker: Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator: Creates the default context generator a chunker.
DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker
DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator
DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect: Default implementation of the EndOfSentenceScanner.
DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner: Initializes the current instance.
defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer: Simple feature generator for learning statistical lemmatizers.
DefaultLemmatizerContextGenerator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer
DefaultLemmatizerSequenceValidator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
DefaultNameContextGenerator - Class in opennlp.tools.namefind: Class for determining contextual features for a tag/chunk style named-entity recognizer.
DefaultNameContextGenerator() - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator: Deprecated.
use the other constructor and always provide the feature generators
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator: Creates a name context generator with the specified cache size.
defaultParams() - Static method in class opennlp.tools.util.TrainingParameters
DefaultPOSContextGenerator - Class in opennlp.tools.postag: A context generator for the POS Tagger.
DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator: Initializes the current instance.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator: Initializes the current instance.
DefaultPOSSequenceValidator - Class in opennlp.tools.postag
DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator
DefaultSDContextGenerator - Class in opennlp.tools.sentdetect: Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new SDContextGenerator instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new SDContextGenerator instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Class in opennlp.tools.tokenize: Generate events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator: Creates a default context generator for tokenizer.
DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator: Creates a default context generator for tokenizer.
DetokenizationDictionary - Class in opennlp.tools.tokenize
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary: Initializes the current instance.
DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
DetokenizationDictionary(File) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
DetokenizationDictionary.Operation - Enum in opennlp.tools.tokenize
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenize the input tokens.
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer: Detokenize the input tokens into a String.
detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
Detokenizer - Interface in opennlp.tools.tokenize: A Detokenizer merges tokens back to their untokenized representation.
Detokenizer.DetokenizationOperation - Enum in opennlp.tools.tokenize: This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerSampleStreamFactory<T> - Class in opennlp.tools.formats: Base class for factories which need detokenizer.
DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt
DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Constructor for class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
DEV_VERSION - Static variable in class opennlp.tools.util.Version
Dictionary - Class in opennlp.tools.dictionary: This class is a dictionary.
Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary: Initializes an empty Dictionary.
Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary
Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary: Initializes the Dictionary from an existing dictionary resource.
DictionaryDetokenizer - Class in opennlp.tools.tokenize: A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer
DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer: This class is used by for reading and writing dictionaries of all kinds.
DictionaryEntryPersistor() - Constructor for class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen: The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.
DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryLemmatizer - Class in opennlp.tools.lemmatizer: Lemmatize by simple dictionary lookup into a hashmap built from a file containing, for each line, word\tabpostag\tablemma.
DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer: Construct a hashmap from the input tab separated dictionary.
DictionaryNameFinder - Class in opennlp.tools.namefind: This is a dictionary based name finder, it scans text for names inside a dictionary.
DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder: Initialized the current instance with he provided dictionary and a type.
DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder: Initializes the current instance with the provided dictionary.
DictionarySerializer - Class in opennlp.tools.util.model
DictionarySerializer() - Constructor for class opennlp.tools.util.model.DictionarySerializer
digits() - Method in class opennlp.tools.util.featuregen.StringPattern: Retrieves the number of digits.
DirectorySampleStream - Class in opennlp.tools.formats: The directory sample stream allows for creating a stream from a directory listing of files.
DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream: Creates a new directory sample stream.
DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream: Creates a new directory sample stream.
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
DoccatCrossValidator - Class in opennlp.tools.doccat: Cross validator for document categorization
DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator: Creates a DoccatCrossValidator with the given FeatureGenerators.
DoccatEvaluationMonitor - Interface in opennlp.tools.doccat: EvaluationMonitor for doccat.
DoccatFactory - Class in opennlp.tools.doccat: The factory that provides Doccat default implementations and resources
DoccatFactory() - Constructor for class opennlp.tools.doccat.DoccatFactory: Creates a DoccatFactory that provides the default implementation of the resources.
DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory
DoccatModel - Class in opennlp.tools.doccat: A model for document categorization
DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel
doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch: Constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al.
DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
DOCSTART - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen
DocumentBeginFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
DocumentCategorizer - Interface in opennlp.tools.doccat: Interface for classes which categorize documents.
DocumentCategorizerEvaluator - Class in opennlp.tools.doccat: The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference DocumentSamples.
DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator: Initializes the current instance.
DocumentCategorizerEventStream - Class in opennlp.tools.doccat: Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes the current instance via samples and feature generators.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes the current instance.
DocumentCategorizerME - Class in opennlp.tools.doccat: Maxent implementation of DocumentCategorizer.
DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME: Initializes the current instance with a doccat model.
DocumentNameFinder - Interface in opennlp.tools.namefind: Name finding interface which processes an entire document allowing the name finder to use context from the entire document.
DocumentSample - Class in opennlp.tools.doccat: Class which holds a classified document and its category.
DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample
DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample
DocumentSampleStream - Class in opennlp.tools.doccat: This class reads in string encoded training samples, parses them and outputs DocumentSample objects.
DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream
DocumentSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP DocumentSampleStreams.
DocumentToLineStream - Class in opennlp.tools.formats.ontonotes: Reads a plain text file and return each line as a String object.
DocumentToLineStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.DocumentToLineStream
doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch: Backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p.
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a constituent needs an no additional parent node/building.
doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
doTrain(SequenceStream) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME: Removes spans with are intersecting or crossing in anyway.
DynamicEvalParameters - Class in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters: Creates a set of paramters which can be evaulated with the eval method.

E

EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect: Stream to to clean up empty lines for empty line separated document streams.
- Skips empty line at training data start
- Transforms multiple empty lines in a row into one
- Replaces white space lines with empty lines
- TODO: Terminates last document with empty line if it is missing

This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec
encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec: Encodes Span objects into a sequence of T objects.
encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect: Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters.
ENTITY_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker: EntityLinkers establish connections to external data to enrich extracted entities.
EntityLinkerFactory - Class in opennlp.tools.entitylinker: Generates an EntityLinker implementation via properties file configuration
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
EntityLinkerProperties - Class in opennlp.tools.entitylinker: Properties wrapper for the EntityLinker framework
EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties: Constructor takes location of properties file as arg
EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties
Entry - Class in opennlp.tools.dictionary.serializer: An Entry is a StringList which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Constructor for class opennlp.tools.dictionary.serializer.Entry: Initializes the current instance.
EntryInserter - Interface in opennlp.tools.dictionary.serializer
eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
equals(Object) - Method in class opennlp.tools.dictionary.Dictionary
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink
equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel
equals(Object) - Method in class opennlp.tools.ml.model.Context
equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters
equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior
equals(Object) - Method in class opennlp.tools.namefind.NameSample
equals(Object) - Method in class opennlp.tools.ngram.NGramModel
equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules
equals(Object) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
equals(Object) - Method in class opennlp.tools.parser.Parse
equals(Object) - Method in class opennlp.tools.postag.POSDictionary
equals(Object) - Method in class opennlp.tools.postag.POSSample
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
equals(Object) - Method in class opennlp.tools.stemmer.snowball.irishStemmer
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
equals(Object) - Method in class opennlp.tools.util.Span: Checks if the specified span is equal to the current span.
equals(Object) - Method in class opennlp.tools.util.StringList
equals(Object) - Method in class opennlp.tools.util.TokenTag
equals(Object) - Method in class opennlp.tools.util.Version
eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel: Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel: Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel: Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(int[], float[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel: Deprecated.
eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(int[], float[], double[], int, int, double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.QNModel: Deprecated.
eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Evaluates a contexts with the specified context values.
eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(int[], float[], double[], EvalParameters, boolean) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Deprecated.
eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(int[], float[], double[], EvalParameters, boolean) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel: Deprecated.
EvalitaNameSampleStream - Class in opennlp.tools.formats: Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
EvalParameters - Class in opennlp.tools.ml.model: This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters
evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<DocumentSample>, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator: Starts the evaluation.
evaluate(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator: Measure quality of the training parameters
evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator: Starts the evaluation.
evaluate(ObjectStream<Parse>, int) - Method in class opennlp.tools.parser.ParserCrossValidator
evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator: Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator: Reads all sample objects from the stream and evaluates each sample object with Evaluator.evaluateSample(Object) method.
evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator: Evaluates the given reference object.
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
Evaluator<T> - Class in opennlp.tools.util.eval: The Evaluator is an abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator
Event - Class in opennlp.tools.ml.model: The context of a decision point during training.
Event(String, String[]) - Constructor for class opennlp.tools.ml.model.Event
Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event
EVENT_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer
EventAnnotation - Class in opennlp.tools.formats.brat
EventModelSequenceTrainer - Interface in opennlp.tools.ml
EventTraceStream - Class in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream
EventTrainer - Interface in opennlp.tools.ml
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
ExtensionLoader - Class in opennlp.tools.util.ext: The ExtensionLoader is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception in opennlp.tools.util.ext: Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Class in opennlp.tools.util.ext
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
extract() - Method in interface opennlp.tools.util.Heap: Deprecated.

Removes the smallest element from the heap and returns it.
extract() - Method in class opennlp.tools.util.ListHeap: Deprecated.
extractArtifactSerializerMappings(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.FeatureGenerator: Extract features from given text fragments
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator: Extract ngram features from given text fragments
extractTags(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag

F

Factory - Class in opennlp.tools.sentdetect.lang
Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory
Factory - Class in opennlp.tools.tokenize.lang
Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory
FeatureGenerator - Interface in opennlp.tools.doccat: Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen: The FeatureGeneratorResourceProvider provides access to the resources provided in the model.
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen: This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
FileEventStream - Class in opennlp.tools.ml.model: Class for using a file of events as an event stream.
FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream: Creates a new file event stream from the specified file name.
FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream
FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream
FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream: Creates a new file event stream from the specified file.
FileToByteArraySampleStream - Class in opennlp.tools.formats.convert
FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream
FileToStringSampleStream - Class in opennlp.tools.formats.convert: Provides the ability to read the contents of files contained in an object stream of files.
FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream: Creates a new file-to-string sample stream.
FilterObjectStream<S,T> - Class in opennlp.tools.util: Abstract base class for filtering ObjectStreams.
find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links an entire document of named entities to an external source
find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker: Links the names that correspond to the tokens[] spans.
find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder: Returns tokens span for the specified document of sentences and their tokens.
find(String[]) - Method in class opennlp.tools.namefind.NameFinderME
find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder
find(String) - Method in class opennlp.tools.namefind.RegexNameFinder: NEW.
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
first() - Method in interface opennlp.tools.util.Heap: Deprecated.

Returns the smallest element of the heap.
first() - Method in class opennlp.tools.util.ListHeap: Deprecated.
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
FMeasure - Class in opennlp.tools.util.eval: The FMeasure is an utility class for evaluators which measure precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
Function - Interface in opennlp.tools.ml.maxent.quasinewton: Interface for a function

G

GapLabeler - Interface in opennlp.tools.parser: Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.
generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator: Creates an ngram separated by the separator param value i.e.
generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator: Generates an nGram based on a char[] input
GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_GPE_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream
generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream: Deprecated.
use the BioCodec implementation of the SequenceValidator instead!
GeneratorFactory - Class in opennlp.tools.util.featuregen: Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory
GenericModelReader - Class in opennlp.tools.ml.model
GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader
GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader
GenericModelSerializer - Class in opennlp.tools.util.model
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
GenericModelWriter - Class in opennlp.tools.ml.model
GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Returns the probability associated with a label
get() - Method in class opennlp.tools.ml.naivebayes.LogProbability: Returns the probability associated with a label
get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the probability associated with a label
get() - Method in class opennlp.tools.ml.naivebayes.Probability: Returns the probability associated with a label
getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory: Gets the abbreviation dictionary
getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel
getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel
getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator: Retrieves the accuracy of provided DocumentCategorizer.
getAddictionalContext() - Method in class opennlp.tools.postag.POSSample
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
getAddtionalData() - Method in class opennlp.tools.util.TokenTag
getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer
getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Returns the probabilities associated with all labels
getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the probabilities associated with all labels
getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel: Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.
getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME: Retrieves an array of all possible part-of-speech tags from the tagger.
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: get the name of the category associated with the given probabilties
getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory: Gets the alpha numeric pattern for the language.
getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory: Gets the alpha numeric pattern.
getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument
getAnnotations() - Method in class opennlp.tools.formats.brat.BratDocument
getArg1() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArg2() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArguments() - Method in class opennlp.tools.formats.brat.EventAnnotation
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider: Gets an artifact by name
getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel
getArtifactSerializerClass() - Method in class opennlp.tools.dictionary.Dictionary: Gets the Serializer Class for Dictionary
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.en.HeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSDictionary
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.BrownCluster
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact: Retrieves the class which can serialize and recreate this artifact.
getArtifactSerializerMapping() - Method in interface opennlp.tools.util.featuregen.ArtifactToSerializerMapper
getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
getAttributes() - Method in class opennlp.tools.dictionary.serializer.Entry: Retrieves the Attributes.
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer: get the best category from previously generated outcome probabilities
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel: Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel: Simple function to return the outcome associated with the index containing the highest probability in the double[].
getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters: get a Boolean parameter
getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters: get a Boolean parameter in the specified namespace
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer: get the category at a given index
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
getChildCount() - Method in class opennlp.tools.parser.Parse: Returns the number of children for this parse node.
getChildren() - Method in class opennlp.tools.parser.Parse: Returns the child constituents of this constituent .
getChunkerModel() - Method in class opennlp.tools.chunker.ChunkerModel: Deprecated.
use getChunkerSequenceModel instead. This method will be removed soon.
getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse: Returns the deepest shared parent of this node and the specified node.
getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the best confidence with which this set of probabilities has been calculated.
getConfig() - Method in class opennlp.tools.formats.brat.BratDocument
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator: Returns the contexts for chunking of the specified index.
getContext(int, String[], String[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator: Returns the contexts for lemmatizing of the specified index.
getContext(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator: Builds up the list of contextual predicates given a String.
getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator: Builds up the list of contextual predicates given an Object.
getContext() - Method in class opennlp.tools.ml.model.Event
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator: Return the context for finding names at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.ChunkContextGenerator: Deprecated.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator: Deprecated.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator: Returns the predictive context used to determine how constituent at the specified index should be combined with other contisuents.
getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator: Returns predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator: Returns the contexts/features for the decision to build a new constituent for the specified parse at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator: Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator: Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator: Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator: Returns an array of features for the specified sentence string at the specified index.
getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator: Returns the context for the specified position in the specified sequence (list).
getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory
getContextGenerator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getContextGenerator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory: Gets the context generator
getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns the array of predicates seen in each event.
getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel: Retrieves the count of the given ngram.
getCoveredText() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getCoveredText() - Method in class opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span: Retrieves the string covered by the current span of the specified text.
getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer
getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory
getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel: Provides the fundamental data structures which encode the maxent model information.
getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory: Allows for use of selected Defaults as well as regexes from external configuration
getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory: Returns a RegexNamefinder that will utilize specified default regexes.
getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Universal dependency relation to the HEAD (root iff HEAD = 0) or a defined language-specific subtype of one.
getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Enhanced dependency graph in the form of a list of head-deprel pairs.
getDerivation() - Method in class opennlp.tools.parser.Parse: Returns the derivation string for this parse if one has been created.
getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory: Provides a list with all the elements in the xml feature descriptor.
getDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory: Deprecated.
this will be reduced in visibility and later removed
getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer: Get the Map containing the dictionary.
getDimension() - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample: Retrieves the document.
getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator: Retrieves the accuracy for all iterations.
getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator: Retrieves the number of words which where validated over all iterations.
getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters: get a Double parameter
getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters: get a Double parameter in the specified namespace
getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser: Parse a tree element from a AD line
getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
getEnd() - Method in class opennlp.tools.util.Span: Return the end of a span.
getEndOfSentenceCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEndOfSentenceCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: Returns an array of character which can indicate the end of a sentence.
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getEvents() - Method in class opennlp.tools.ml.model.Sequence: Returns the events which make up this sequence.
getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation
getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample
getFactory() - Method in class opennlp.tools.chunker.ChunkerModel
getFactory() - Method in class opennlp.tools.doccat.DoccatModel
getFactory() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getFactory() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getFactory() - Method in class opennlp.tools.postag.POSModel
getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
getFctEvalCount() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFeats() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieve list of morphological features from the universal feature inventory or from a defined language-specific extension; underscore if not available.
getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
getFMeasure() - Method in class opennlp.tools.parser.ParserCrossValidator
getFMeasure() - Method in class opennlp.tools.parser.ParserEvaluator: It returns the fmeasure result.
getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure: Retrieves the f-measure score.
getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieve the word form or punctuation symbol.
getFuncChangeRate() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Retrieves a Collections of all aggregated AdaptiveFeatureGenerators.
getGradAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getHead() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Head of the current word, which is either a value of ID or zero (0).
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules: Returns the head constituent for the specified constituents of the specified type.
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHead() - Method in class opennlp.tools.parser.Parse: Returns the head constituent associated with this constituent.
getHeadIndex() - Method in class opennlp.tools.parser.Parse: Returns the index within a sentence of the head token for this parse.
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
getId() - Method in class opennlp.tools.formats.brat.BratAnnotation
getId() - Method in class opennlp.tools.formats.brat.BratDocument
getId() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieves the word index.
getId() - Method in class opennlp.tools.namefind.NameSample
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer: get the index of a certain category
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel: Gets the index associated with the String name of the given outcome.
getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel: Gets the index associated with the String name of the given outcome.
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
getInitialObject(double, double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Initial linear search object.
getInitialObject(double, double[], double[], double[], double[], int) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getInitialObjectForL1(double, double[], double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Initial linear search object for L1-regularization.
getInitialPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters: get an Integer parameter
getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters: get an Integer parameter in the specified namespace
getItemID() - Method in class opennlp.tools.entitylinker.BaseLink: returns the itemid
getItemName() - Method in class opennlp.tools.entitylinker.BaseLink: returns the name
getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink: Any parent ID for the linked item
getItemType() - Method in class opennlp.tools.entitylinker.BaseLink: returns the type
getIterations() - Method in class opennlp.tools.ml.AbstractTrainer
getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability: Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability: Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.parser.Constituent: Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse: Returns the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider: Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguage() - Method in class opennlp.tools.util.model.BaseModel: Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory: Retrieves the language code.
getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieve the lemma or stem of the word form.
getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample
getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan: Returns the n best linked entries from an external data source.
getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Returns the log probability associated with a label
getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability: Returns the log probability associated with a label
getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the log probability associated with a label
getLog() - Method in class opennlp.tools.ml.naivebayes.Probability: Returns the log probability associated with a label
getMajor() - Method in class opennlp.tools.util.Version: Retrieves the major version.
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider: Retrieves the value to the given key from the manifest.properties entry.
getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel: Retrieves the value to the given key from the manifest.properties entry.
getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Returns the most likely label
getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the most likely label
getMaxentModel() - Method in class opennlp.tools.doccat.DoccatModel
getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities: Returns the probability of the most likely label
getMetadata() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getMinor() - Method in class opennlp.tools.util.Version: Retrieves the minor version.
getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieve any other annotation.
getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
getModelType() - Method in class opennlp.tools.ml.model.AbstractModel
getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getmPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder
getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getNames() - Method in class opennlp.tools.namefind.NameSample
getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse: Returns the set of punctuation parses that occur immediately after this parse.
getNgramDictionary() - Method in class opennlp.tools.postag.POSModel: Retrieves the ngram dictionary.
getNGrams(StringList, int) - Static method in class opennlp.tools.ngram.NGramUtils: get the ngrams of dimension n of a certain input sequence of tokens
getNMinusOneTokenFirst(StringList) - Static method in class opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
getNMinusOneTokenLast(StringList) - Static method in class opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
getNonTokenizedText() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator: Retrieves the number of times a cache hit occurred.
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator: Retrieves the number of times a cache miss occurred.
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer: get the number of categories
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns the number of total events indexed.
getNumOutcomes() - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters
getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel: Returns the number of outcomes for this model.
getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns an array indicating the number of times a particular event was seen.
getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters: Retrieves a map with the training parameters which have the passed name space.
getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters: Retrieves all parameters without a name space.
getOntoNotesDir() - Method in interface opennlp.tools.formats.ontonotes.OntoNotesFormatParameters
getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME
getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME
getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel: Return the name of an outcome corresponding to an int id.
getOutcome() - Method in class opennlp.tools.ml.model.Event
getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel: Gets the String name of the outcome associated with the index i.
getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns an array of outcome names.
getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns an array indicating the outcome index for each event.
getOutcomes() - Method in class opennlp.tools.ml.BeamSearch
getOutcomes() - Method in class opennlp.tools.ml.model.Context: Returns the outcomes for which parameters exists for this context.
getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel: Returns all possible outcomes.
getOutcomes() - Method in class opennlp.tools.util.Sequence: Returns a list of outcomes for this sequence.
getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getParameters() - Method in class opennlp.tools.ml.model.Context: Returns the parameters or expected values for the outcomes which occur with this context.
getParameters(String) - Method in class opennlp.tools.util.TrainingParameters
getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getParams() - Method in class opennlp.tools.ml.model.EvalParameters
getParent() - Method in class opennlp.tools.parser.Parse: Returns the parent parse node of this constituent.
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
getParserType() - Method in class opennlp.tools.parser.ParserModel
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample: Gets the phrases as an array of spans
getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory
getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory
getPositions(String) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(String) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans `buf' for sentence ending characters and returns their offsets.
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans `cbuf' for sentence ending characters and returns their offsets.
getPosModel() - Method in class opennlp.tools.postag.POSModel: Deprecated.
use getPosSequenceModel instead. This method will be removed soon. Only required for Parser 1.5.x backward compatibility. Newer models don't need this anymore.
getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel
getPosTag(ConlluTagset) - Method in class opennlp.tools.formats.conllu.ConlluWordLine: Retrieve the Universal part-of-speech tag or the language-specific part-of-speech tag; underscore if not available.
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure: Retrieves the arithmetic mean of the precision scores calculated for each evaluated sample.
getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns an array of the count of each predicate in the events.
getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns an array of predicate/context names.
getPreds() - Method in class opennlp.tools.chunker.ChunkSample: Gets the Chunk tags in B-* I-* notation
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse: Returns the set of punctuation parses that occur immediately before this parse.
getProb() - Method in class opennlp.tools.parser.Parse: Returns the log of the product of the probability associated with all the decisions which formed this constituent.
getProb() - Method in class opennlp.tools.util.Span
getProbs() - Method in class opennlp.tools.util.Sequence: Returns an array of probabilities associated with the outcomes of this sequence.
getProbs(double[]) - Method in class opennlp.tools.util.Sequence: Populates an array with the probabilities associated with the outcomes of this sequence.
getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties: Gets a property from the props file.
getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules: Returns the set of punctuation tags.
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure: Retrieves the arithmetic mean of the recall score calculated for each evaluated sample.
getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider: Retrieves the resource object for the given name/identifier.
getResultBuffer() - Method in class opennlp.tools.stemmer.PorterStemmer: Returns a reference to a character buffer containing the results of the stemming process.
getResultLength() - Method in class opennlp.tools.stemmer.PorterStemmer: Returns the length of the word resulting from the stemming process.
getRevision() - Method in class opennlp.tools.util.Version: Retrieves the revision version.
getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser: Returns the right frontier of the specified parse tree with nodes ordered from deepest to shallowest.
getRoot() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getScore() - Method in class opennlp.tools.util.Sequence: Returns the score of this sequence.
getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan: Returns the search term that was used to link this span to an external data source
getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getSentence() - Method in class opennlp.tools.chunker.ChunkSample: Gets the training sentence
getSentence() - Method in class opennlp.tools.namefind.NameSample
getSentence() - Method in class opennlp.tools.postag.POSSample
getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan: Returns the id or index of the sentence from which this span was extracted
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME: Returns the probabilities associated with the most recent calls to sentDetect().
getSentences() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument
getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample: Retrieves the sentences.
getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getSequenceValidator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory
getSettings(String) - Method in class opennlp.tools.util.TrainingParameters: Deprecated.
use TrainingParameters.getObjectSettings(String) instead
getSettings() - Method in class opennlp.tools.util.TrainingParameters: Deprecated.
use TrainingParameters.getObjectSettings() instead
getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil: Get the SES required to go from a word to a lemma.
getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getSource() - Method in class opennlp.tools.ml.model.Sequence: Returns an object from which this sequence can be derived.
getSpan() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getSpan() - Method in class opennlp.tools.parser.Constituent: Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse: Returns the character offsets for this constituent.
getStart() - Method in class opennlp.tools.util.Span: Return the start of a span.
getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters: get a String parameter
getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters: get a String parameter in the specified namespace
getsType() - Method in class opennlp.tools.namefind.RegexNameFinder
getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getTag() - Method in class opennlp.tools.util.TokenTag
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
getTagNodes() - Method in class opennlp.tools.parser.Parse: Returns the parse nodes which are children of this node and which are pos tags.
getTags() - Method in class opennlp.tools.chunker.ChunkSample: Gets the POS Tags for the sentence
getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTags(String) - Method in class opennlp.tools.postag.POSDictionary: Returns a list of valid tags for the specified word.
getTags() - Method in class opennlp.tools.postag.POSSample
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary: Returns a list of valid tags for the specified word.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse: Returns the probability associated with the pos-tag sequence assigned to this parse.
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream: Retrieves the ObjectStream over the test/evaluations elements and poisons this TrainingSampleStream.
getText() - Method in class opennlp.tools.doccat.DocumentSample
getText() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getText() - Method in class opennlp.tools.formats.brat.BratDocument
getText() - Method in class opennlp.tools.parser.Parse: Returns the text of the sentence over which this parse was formed.
getText() - Method in class opennlp.tools.tokenize.TokenSample: Retrieves the text.
getToken(int) - Method in class opennlp.tools.util.StringList: Retrieves a token from the given index.
getToken() - Method in class opennlp.tools.util.TokenTag
getTokenNodes() - Method in class opennlp.tools.parser.Parse
getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME: Returns the probabilities associated with the most recent calls to AbstractTokenizer.tokenize(String) or TokenizerME.tokenizePos(String).
getTokens() - Method in class opennlp.tools.dictionary.serializer.Entry: Retrieves the tokens.
getTokens() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample: Retrieves the token spans.
getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory: Determines the trainer type based on the ALGORITHM_PARAM value.
getType() - Method in class opennlp.tools.formats.brat.BratAnnotation
getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getType() - Method in class opennlp.tools.parser.Parse: Returns the constituent label for this node of the parse.
getType() - Method in class opennlp.tools.util.Span: Retrieves the type of the span.
getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration
getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes: Retrieves the value for the given key or null if attribute it not set.
getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getValueAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValueAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getValues() - Method in interface opennlp.tools.ml.model.DataIndexer: Returns the values associated with each event context or null if integer values are to be used.
getValues() - Method in class opennlp.tools.ml.model.Event
getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer
getVersion() - Method in class opennlp.tools.util.model.BaseModel: Retrieves the OpenNLP version which was used to create the model.
getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator: Retrieves the word accuracy.
getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator: Retrieves the word accuracy.
getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator: Retrieves the accuracy for all iterations.
getWordClasses(String, BrownCluster) - Static method in class opennlp.tools.util.featuregen.BrownTokenClasses: It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.
getWordCount() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator: Retrieves the total number of words considered in the evaluation.
getWordCount() - Method in class opennlp.tools.postag.POSEvaluator: Retrieves the total number of words considered in the evaluation.
getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator: Retrieves the number of words which where validated over all iterations.
getWordLines() - Method in class opennlp.tools.formats.conllu.ConlluSentence
GISModel - Class in opennlp.tools.ml.maxent: A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java).
GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel: Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel: Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Class in opennlp.tools.ml.maxent.io: Abstract parent class for readers of GISModels.
GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
GISModelWriter - Class in opennlp.tools.ml.maxent.io: Abstract parent class for GISModel writers.
GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter
GISTrainer - Class in opennlp.tools.ml.maxent: An implementation of Generalized Iterative Scaling.
GISTrainer() - Constructor for class opennlp.tools.ml.maxent.GISTrainer: Creates a new GISTrainer instance which does not print progress messages about training to STDOUT.
gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood: Compute gradient
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood: Compute gradient
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction

H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample
hashCode() - Method in class opennlp.tools.dictionary.Dictionary
hashCode() - Method in class opennlp.tools.doccat.DocumentSample
hashCode() - Method in class opennlp.tools.entitylinker.BaseLink
hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan
hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample
hashCode() - Method in class opennlp.tools.ml.model.AbstractModel
hashCode() - Method in class opennlp.tools.ml.model.Context
hashCode() - Method in class opennlp.tools.ml.model.EvalParameters
hashCode() - Method in class opennlp.tools.ml.model.UniformPrior
hashCode() - Method in class opennlp.tools.namefind.NameSample
hashCode() - Method in class opennlp.tools.ngram.NGramModel
hashCode() - Method in class opennlp.tools.parser.lang.en.HeadRules
hashCode() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
hashCode() - Method in class opennlp.tools.parser.Parse
hashCode() - Method in class opennlp.tools.postag.POSDictionary
hashCode() - Method in class opennlp.tools.postag.POSSample
hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample
hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
hashCode() - Method in class opennlp.tools.tokenize.TokenSample
hashCode() - Method in class opennlp.tools.util.Span: Generates a hash code of the current span.
hashCode() - Method in class opennlp.tools.util.StringList
hashCode() - Method in class opennlp.tools.util.TokenTag
hashCode() - Method in class opennlp.tools.util.Version
HashSumEventStream - Class in opennlp.tools.ml.model
HashSumEventStream(ObjectStream<Event>) - Constructor for class opennlp.tools.ml.model.HashSumEventStream
hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream: Test whether there are any Events remaining in this EventStream.
hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner: Checks if there are more partitions available.
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
HeadRules - Interface in opennlp.tools.parser: Interface for encoding the head rules associated with parsing.
HeadRules - Class in opennlp.tools.parser.lang.en: Class for storing the English head rules associated with parsing.
HeadRules(String) - Constructor for class opennlp.tools.parser.lang.en.HeadRules: Deprecated.
HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules: Creates a new set of head rules based on the specified reader.
HeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.en
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
Heap<E> - Interface in opennlp.tools.util: Deprecated.

I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys: Property key for the unique id which identifies an OSGi OpenNLP extension service.
INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: The label for the top if an incomplete node.
INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is incomplete.
Index - Class in opennlp.tools.dictionary: This classes indexes StringLists.
Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index: Initializes the current instance with the given StringList Iterator.
index(ObjectStream<Event>) - Method in interface opennlp.tools.ml.model.DataIndexer: Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer
indexOf(Parse) - Method in class opennlp.tools.parser.Parse: Returns the index of this specified child.
init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker: allows for passing properties through the EntityLinkerFactory into all impls dynamically.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer
init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer: Deprecated.
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer: Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer: Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer: Deprecated.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer: Sets parameters used during the data indexing.
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer: Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer
init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.CustomFeatureGenerator: Initialized the Custom Feature Generator with defined properties and loaded resources.
INITIAL_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath
InputStreamFactory - Interface in opennlp.tools.util: Allows repeated reads through a stream for certain types of model building.
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
insert(Parse) - Method in class opennlp.tools.parser.Parse: Inserts the specified constituent into this parse based on its text span.This method assumes that the specified constituent can be inserted into this parse.
InSpanGenerator - Class in opennlp.tools.util.featuregen: Generates features if the tokens are recognized by the provided TokenNameFinder.
InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator: Initializes the current instance.
INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer: Use this static reference to retrieve an instance of the WhitespaceTokenizer.
instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader: Instantiates an user provided extension to OpenNLP.
instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
InsufficientTrainingDataException - Exception in opennlp.tools.util: This exception indicates that the provided training data is insufficient to train the desired model.
InsufficientTrainingDataException() - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
intersects(Span) - Method in class opennlp.tools.util.Span: Returns true if the specified span intersects with this span.
InvalidFormatException - Exception in opennlp.tools.util: This exception indicates that a resource violates the expected data format.
InvalidFormatException() - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath: Inverse L2-norm
irishStemmer - Class in opennlp.tools.stemmer.snowball: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
irishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.irishStemmer
isAllCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isCaseSensitive() - Method in interface opennlp.tools.postag.MutableTagDictionary: Whether if the dictionary is case sensitive or not
isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
isChunk() - Method in class opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
isEmpty() - Method in interface opennlp.tools.util.Heap: Deprecated.

Returns whether the heap is empty.
isEmpty() - Method in class opennlp.tools.util.ListHeap: Deprecated.
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil: Returns true if CharSequence.length() is 0 or null.
isFlat() - Method in class opennlp.tools.parser.Parse: Returns true if this constituent contains no sub-constituents.
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Checks if a probability is greater than the old one.
isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability: Checks if a probability is greater than the old one.
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider: Indicates if this provider was loaded from serialized.
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
isOSGiEnvironment() - Method in exception opennlp.tools.util.ext.ExtensionNotLoadedException: Indicates if OpenNLP is running in an OSGi environment or not.
isPosTag() - Method in class opennlp.tools.parser.Parse: Indicates whether this parse node is a pos-tag.
isSnapshot() - Method in class opennlp.tools.util.Version
isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.GISTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
isUseAlphaNumericOptmization() - Method in class opennlp.tools.tokenize.TokenizerFactory: Gets whether to use alphanumeric optimization.
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
isValid() - Method in class opennlp.tools.ml.AbstractEventTrainer: Deprecated.
isValid() - Method in class opennlp.tools.ml.AbstractTrainer: Deprecated.
Use AbstractTrainer.validate() instead.
isValid() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer: Deprecated.
isValid() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer: Deprecated.
isValid() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer: Deprecated.
isValid(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil: Determines if the specified character is a whitespace.
isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil: Determines if the specified character is a whitespace.
ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
ITERATIONS_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
ITERATIONS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
iterator() - Method in class opennlp.tools.dictionary.Dictionary: Retrieves an Iterator over all tokens.
iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes: Iterates over the keys.
iterator() - Method in class opennlp.tools.ngram.NGramModel: Retrieves an Iterator over all StringList entries.
iterator() - Method in class opennlp.tools.postag.POSDictionary: Retrieves an iterator over all words in the dictionary.
iterator() - Method in interface opennlp.tools.util.Heap: Deprecated.

Returns an iterator over the elements of the heap.
iterator() - Method in class opennlp.tools.util.ListHeap: Deprecated.
iterator() - Method in class opennlp.tools.util.StringList: Retrieves an Iterator over all tokens.

J

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

L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
L1COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l1norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath: L1-norm
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
L2COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l2norm(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath: L2-norm
L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler: Labels the constituents found in the stack with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
LanguageModel - Interface in opennlp.tools.languagemodel: A language model can calculate the probability p (between 0 and 1) of a certain sequence of tokens, given its underlying vocabulary.
LanguageSampleStreamFactory<T> - Class in opennlp.tools.formats: Stream factory for those streams which carry language.
LAST - Static variable in class opennlp.tools.namefind.BilouCodec
last() - Method in interface opennlp.tools.util.Heap: Deprecated.

Returns the largest element of the heap.
last() - Method in class opennlp.tools.util.ListHeap: Deprecated.
Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
LeipzigDoccatSampleStream - Class in opennlp.tools.formats: Stream filter to produce document samples out of a Leipzig sentences.txt file.
LeipzigDoccatSampleStream(String, int, Tokenizer, InputStreamFactory) - Constructor for class opennlp.tools.formats.LeipzigDoccatSampleStream: Creates a new LeipzigDoccatSampleStream with the specified parameters.
LeipzigDoccatSampleStream(String, int, InputStreamFactory) - Constructor for class opennlp.tools.formats.LeipzigDoccatSampleStream: Creates a new LeipzigDoccatSampleStream with the specified parameters.
LeipzigDocumentSampleStreamFactory - Class in opennlp.tools.formats: Note: Do not use this class, internal use only!
LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
LemmaSample - Class in opennlp.tools.lemmatizer: Represents an lemmatized sentence.
LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Represents one lemma sample.
LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample: Lemma Sample constructor.
LemmaSampleEventStream - Class in opennlp.tools.lemmatizer: Class for creating an event stream out of data files for training a probabilistic lemmatizer.
LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleEventStream: Creates a new event stream based on the specified data stream using the specified context generator.
LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer
LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
LemmaSampleStream - Class in opennlp.tools.lemmatizer: Reads data for training and testing the lemmatizer.
LemmaSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleStream
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates lemmas for the word and postag returning the result in an array.
lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer: Generates a lemma tags for the word and postag returning the result in a list of every possible lemma for each token and postag.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME
Lemmatizer - Interface in opennlp.tools.lemmatizer: The interface for lemmatizers.
LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer: Interface for the context generator used for probabilistic lemmatizer.
LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer: Interface for the lemmatizer evaluator.
LemmatizerEvaluator - Class in opennlp.tools.lemmatizer: The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference LemmaSamples.
LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator: Initializes the current instance.
LemmatizerFactory - Class in opennlp.tools.lemmatizer
LemmatizerFactory() - Constructor for class opennlp.tools.lemmatizer.LemmatizerFactory: Creates a LemmatizerFactory that provides the default implementation of the resources.
LemmatizerME - Class in opennlp.tools.lemmatizer: A probabilistic lemmatizer.
LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME: Initializes the current instance with the provided model and the default beam size of 3.
LemmatizerModel - Class in opennlp.tools.lemmatizer: The LemmatizerModel is the model used by a learnable Lemmatizer.
LemmatizerModel(String, SequenceClassificationModel<String>, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerSampleStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP LemmaSampleStreams.
length() - Method in class opennlp.tools.util.Span: Returns the length of this span.
LetsmtDocument - Class in opennlp.tools.formats.letsmt: A structure to hold the letsmt document.
LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt
LetsmtDocument.LetsmtSentence - Class in opennlp.tools.formats.letsmt
LetsmtDocumentHandler() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
LetsmtSentence() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
LetsmtSentenceStreamFactory - Class in opennlp.tools.formats.letsmt
levenshteinDistance(String, String) - Static method in class opennlp.tools.util.StringUtil: Computes the Levenshtein distance of two strings in a matrix.
LineSearch - Class in opennlp.tools.ml.maxent.quasinewton: Class that performs line search to find minimum
LineSearch() - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch
LineSearch.LineSearchResult - Class in opennlp.tools.ml.maxent.quasinewton: Class to store lineSearch result
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Constructor
LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Constructor with sign vector
LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker: An "default" extended span that holds additional information about the Span
LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
ListHeap<E extends Comparable<E>> - Class in opennlp.tools.util: Deprecated.
ListHeap(int, Comparator<E>) - Constructor for class opennlp.tools.util.ListHeap: Deprecated.

Creates a new heap with the specified size using the sorted based on the specified comparator.
ListHeap(int) - Constructor for class opennlp.tools.util.ListHeap: Deprecated.

Creates a new heap of the specified size.
logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior: Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior
LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability for a label.
LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability
logSumOfExps(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath: Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.BrownCluster: Check if a token is in the Brown:paths, token map.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

M

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
M_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MarkableFileInputStreamFactory - Class in opennlp.tools.util: A factory that creates MarkableFileInputStream from a File
MarkableFileInputStreamFactory(File) - Constructor for class opennlp.tools.util.MarkableFileInputStreamFactory
max(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAX_FCT_EVAL_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_QN_VALUE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_VALUE - Static variable in class opennlp.tools.ml.maxent.GISTrainer
MaxentModel - Interface in opennlp.tools.ml.model: Interface for maximum entropy models.
maxIdx(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath: Find index of maximum element in the vector x
Mean - Class in opennlp.tools.util.eval: Calculates the arithmetic mean of values added with the Mean.add(double) method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
mean() - Method in class opennlp.tools.util.eval.Mean: Retrieves the mean of all values added with Mean.add(double) or 0 if there are zero added values.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure: Merge results into fmeasure metric.
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
META_LABEL_FINAL - Static variable in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
MIN_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Find the parameters that minimize the objective function
missclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
ModelType - Enum in opennlp.tools.util.model
ModelUtil - Class in opennlp.tools.util.model: Utility class for handling of MaxentModels.
MosesSentenceSampleStream - Class in opennlp.tools.formats.moses
MosesSentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.moses.MosesSentenceSampleStream
MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses: Factory producing OpenNLP MosesSentenceSampleStreams.
Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc
MucNameContentHandler - Class in opennlp.tools.formats.muc
MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler
MucNameSampleStream - Class in opennlp.tools.formats.muc
MutableContext - Class in opennlp.tools.ml.model: Class used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableTagDictionary - Interface in opennlp.tools.postag: Interface that allows TagDictionary entries to be added and removed.

N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes: Parameters for the evalution of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Class in opennlp.tools.ml.naivebayes: Class implementing the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], Map<String, Integer>, String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel: Deprecated.
NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel
NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: Abstract parent class for readers of NaiveBayes.
NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: Abstract parent class for NaiveBayes writers.
NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter
NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes: Trains models using the perceptron algorithm.
NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
name - Variable in class opennlp.tools.ml.model.ComparablePredicate
NameContextGenerator - Interface in opennlp.tools.namefind: Interface for generating the context for an name finder by specifying a set of geature generators.
NameFinderCensus90NameStream - Class in opennlp.tools.formats: This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream: This constructor takes an ObjectStream and initializes the class to handle the stream.
NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream: This constructor takes an InputStream and a Charset and opens an associated stream object with the specified encoding specified.
NameFinderEventStream - Class in opennlp.tools.namefind: Class for creating an event stream out of data files for training an name finder.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream: Creates a new name finder event stream using the specified data stream and context generator.
NameFinderEventStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
NameFinderME - Class in opennlp.tools.namefind: Class for creating a maximum-entropy-based name finder.
NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME
NameFinderSequenceValidator - Class in opennlp.tools.namefind: This class is created by the BioCodec.
NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator
NameSample - Class in opennlp.tools.namefind: Class for holding names for a single unit of text.
NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample: Initializes the current instance.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample
NameSampleDataStream - Class in opennlp.tools.namefind: The NameSampleDataStream class converts tagged Strings provided by a DataStream to NameSample objects.
NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream
NameSampleDataStreamFactory - Class in opennlp.tools.formats: Factory producing OpenNLP NameSampleDataStreams.
NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats
NameSampleSequenceStream - Class in opennlp.tools.namefind
NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleTypeFilter - Class in opennlp.tools.namefind: A stream which removes Name Samples which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
NameToSentenceSampleStream - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream
NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream
NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton: Evaluate negative log-likelihood and its gradient from DataIndexer.
NegLogLikelihood(DataIndexer) - Constructor for class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
NewlineSentenceDetector - Class in opennlp.tools.sentdetect: The Newline Sentence Detector assumes that sentences are line delimited and recognizes one sentence per non-empty line.
NewlineSentenceDetector() - Constructor for class opennlp.tools.sentdetect.NewlineSentenceDetector
next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner: Retrieves the next training and test partitions.
next() - Method in class opennlp.tools.util.ReverseListIterator
NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
nextIteration(int) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
nextToken() - Method in interface opennlp.tools.ml.maxent.DataStream: Returns the next slice of data held in this DataStream.
NGramFeatureGenerator - Class in opennlp.tools.doccat: Generates ngram features for a document.
NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator: Constructor for ngrams.
NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator: Default constructor for Bi grams
NGramGenerator - Class in opennlp.tools.ngram: Generates an nGram, with optional separator, and returns the grams as a list of strings
NGramGenerator() - Constructor for class opennlp.tools.ngram.NGramGenerator
NGramLanguageModel - Class in opennlp.tools.languagemodel: A LanguageModel based on a NGramModel using Stupid Backoff to get the probabilities of the ngrams.
NGramLanguageModel() - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramModel - Class in opennlp.tools.ngram: The NGramModel can be used to crate ngrams and character ngrams.
NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel: Initializes an empty instance.
NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel: Initializes the current instance.
NGramUtils - Class in opennlp.tools.ngram: Utility class for ngrams.
NGramUtils() - Constructor for class opennlp.tools.ngram.NGramUtils
nicePrint() - Method in class opennlp.tools.chunker.ChunkSample: Creates a nice to read string for the phrases formatted as following:
[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.
NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME: Constant indicates no sentence split.
NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME: Constant indicates no token split.
Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should not be attached to another node.
NUM_ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel: Retrieves the total count of all Ngrams.





O

ObjectDataReader - Class in opennlp.tools.ml.model
 
ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader
 
ObjectStream<T> - Interface in opennlp.tools.util

Reads Objects from a stream.

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

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

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

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

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

Name Sample Stream parser for the OntoNotes 4.0 corpus.

OntoNotesNameSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
 
OntoNotesNameSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
 
OntoNotesNameSampleStreamFactory() - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
 
OntoNotesParseSampleStream - Class in opennlp.tools.formats.ontonotes
 
OntoNotesParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
 
OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
 
OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
 
opennlp.tools - package opennlp.tools

Contains packages which solve common NLP tasks.

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

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

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

Package related to parsing and storing dictionaries.

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

Package for classifying a document into a category.

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

Experimental package related to converting various corpora to OpenNLP Format.

opennlp.tools.formats.ad - package opennlp.tools.formats.ad
 
opennlp.tools.formats.brat - package opennlp.tools.formats.brat
 
opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu
 
opennlp.tools.formats.convert - package opennlp.tools.formats.convert
 
opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank
 
opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt
 
opennlp.tools.formats.moses - package opennlp.tools.formats.moses
 
opennlp.tools.formats.muc - package opennlp.tools.formats.muc
 
opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes
 
opennlp.tools.languagemodel - package opennlp.tools.languagemodel

Package related to language models

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

Package related with the lemmatizer tool

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

Provides main functionality of the maxent package including data structures and
algorithms for parameter estimation.

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

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

opennlp.tools.ml.maxent.quasinewton - package opennlp.tools.ml.maxent.quasinewton
 
opennlp.tools.ml.model - package opennlp.tools.ml.model
 
opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes
 
opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron
 
opennlp.tools.namefind - package opennlp.tools.namefind

Package related to finding proper names and numeric amounts.

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

Package related to computing and storing n-gram frequencies.

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

Package containing common code for performing full syntactic parsing.

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

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

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

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

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

Package related to part-of-speech tagging.

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

Package related to identifying sentece boundries.

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

Package related to the processing of Thai data.

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

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

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

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

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

Package containing extension loading code.

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

This package contains classes for generating sequence features.

opennlp.tools.util.model - package opennlp.tools.util.model
 
OSGiExtensionLoader - Class in opennlp.tools.util.ext

OSGi bundle activator which can use an OSGi service as
 an OpenNLP extension.

OSGiExtensionLoader() - Constructor for class opennlp.tools.util.ext.OSGiExtensionLoader
 
OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream
 
OTHER - Static variable in class opennlp.tools.namefind.BilouCodec
 
OTHER - Static variable in class opennlp.tools.namefind.BioCodec
 
OTHER - Static variable in class opennlp.tools.namefind.NameFinderME
 
OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

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

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

The definition feature maps the underlying distribution of outcomes.

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




P

ParagraphStream - Class in opennlp.tools.util

Stream filter which merges text lines into paragraphs.

ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream
 
ParallelNegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton

Evaluate negative log-likelihood and its gradient in parallel

ParallelNegLogLikelihood(DataIndexer, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
 
params - Variable in class opennlp.tools.ml.model.ComparablePredicate
 
parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser

Parse the sentence

parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
 
parse(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
 
parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser
 
parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample
 
parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample
 
parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
 
Parse - Class in opennlp.tools.parser

Data structure for holding parse constituents.

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

Creates a new parse node for this specified text and span of the specified type
 with the specified probability and the specified head index.

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

Creates a new parse node for this specified text and span of the specified type with
 the specified probability and the specified head and head index.

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

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

parse(Parse) - Method in interface opennlp.tools.parser.Parser

Returns a parse for the specified parse of tokens.

parse(String) - Static method in enum opennlp.tools.parser.ParserType
 
parse(String) - Static method in class opennlp.tools.postag.POSSample
 
parse(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
 
parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample
 
parse(String) - Static method in class opennlp.tools.util.Version

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

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

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

parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument
 
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary

Reads a dictionary which has one entry per line.

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

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

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

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

Parser - Class in opennlp.tools.parser.chunking

Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.

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

Interface for full-syntactic parsers.

Parser - Class in opennlp.tools.parser.treeinsert

Built/attach parser.

Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser
 
Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser
 
ParserChunkerFactory - Class in opennlp.tools.parser
 
ParserChunkerFactory() - Constructor for class opennlp.tools.parser.ParserChunkerFactory
 
ParserChunkerSequenceValidator - Class in opennlp.tools.parser
 
ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator
 
ParserCrossValidator - Class in opennlp.tools.parser
 
ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator
 
ParserEvaluationMonitor - Interface in opennlp.tools.parser
 
ParserEvaluator - Class in opennlp.tools.parser

Class for ParserEvaluator.

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

Construct a parser with some evaluation monitors.

ParserEventStream - Class in opennlp.tools.parser.chunking

Wrapper class for one of four parser event streams.

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

Create an event stream based on the specified data stream of the specified type using
 the specified head rules.

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

Enumerated type of event types for the parser.

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

This is an abstract base class for ParserModel implementations.

ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel
 
ParserType - Enum in opennlp.tools.parser
 
ParseSampleStream - Class in opennlp.tools.parser
 
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream
 
ParseSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP ParseSampleStreams.

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

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

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

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

ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert

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

ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

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

pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses
 
PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
 
PERCEPTRON_VALUE - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
PerceptronModel - Class in opennlp.tools.ml.perceptron
 
PerceptronModel(Context[], String[], Map<String, Integer>, String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel

Deprecated.
this will be removed in 1.8.1, pmap should be private


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

Abstract parent class for readers of Perceptron.

PerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
 
PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
 
PerceptronModelWriter - Class in opennlp.tools.ml.perceptron

Abstract parent class for Perceptron writers.

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

Trains models using the perceptron algorithm.

PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
 
PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
 
persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter

Writes the model to disk, using the writeX() methods provided
 by extending classes.

persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter
 
persist() - Method in class opennlp.tools.ml.model.AbstractModelWriter
 
persist() - Method in class opennlp.tools.ml.model.GenericModelWriter
 
persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter

Writes the model to disk, using the writeX() methods
 provided by extending classes.

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

Writes the model to disk, using the writeX() methods
 provided by extending classes.

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

Static method to create arrays of spans of phrases

PlainTextByLineStream - Class in opennlp.tools.util

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

PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream
 
PlainTextFileDataReader - Class in opennlp.tools.ml.model
 
PlainTextFileDataReader(File) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
 
PlainTextFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
 
PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
 
PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
 
PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader

Constructor which directly instantiates the BufferedReader containing
 the model contents.

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

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

PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes

Model writer that saves models in plain text format.

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

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

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

Constructor which takes a NaiveBayesModel and a BufferedWriter and prepares
 itself to write the model to that writer.

populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME
 
PorterStemmer - Class in opennlp.tools.stemmer

Stemmer, implementing the Porter Stemming Algorithm

 The Stemmer class transforms a word into its root form.

PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer
 
PortugueseContractionUtility - Class in opennlp.tools.formats.ad

Utility class to handle Portuguese contractions.

PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility
 
POSContextGenerator - Interface in opennlp.tools.postag

The interface for a context generator for the POS Tagger.

POSDictionary - Class in opennlp.tools.postag

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

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

Initializes an empty case sensitive POSDictionary.

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

Initializes an empty POSDictionary.

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

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

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

Initializes the current instance.

POSModel - Class in opennlp.tools.postag

The POSModel is the model used
 by a learnable POSTagger.

POSModel(String, SequenceClassificationModel<String>, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(File) - Constructor for class opennlp.tools.postag.POSModel
 
POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel
 
POSModelSerializer - Class in opennlp.tools.util.model
 
POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer
 
POSSample - Class in opennlp.tools.postag

Represents an pos-tagged sentence.

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

This class reads the POSSamples from the given Iterator
 and converts the POSSamples into Events which
 can be used by the maxent library for training.

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

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

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

Initializes the current instance with given samples
 and a DefaultPOSContextGenerator.

POSSampleSequenceStream - Class in opennlp.tools.postag
 
POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
 
POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
 
PosSampleStream - Class in opennlp.tools.parser
 
PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream
 
POSTagger - Interface in opennlp.tools.postag

The interface for part of speech taggers.

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

Creates a POSTaggerCrossValidator that builds a ngram dictionary
 dynamically.

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

Creates a POSTaggerCrossValidator using the given
 POSTaggerFactory.

POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag
 
POSTaggerFactory - Class in opennlp.tools.postag

The factory that provides POS Tagger default implementations and resources

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

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

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

Deprecated.
this constructor is here for backward compatibility and
             is not functional anymore in the training of 1.8.x series models


POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory
 
POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag
 
PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen
 
PosTaggerFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
 
POSTaggerME - Class in opennlp.tools.postag

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

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

Initializes the current instance with the provided model.

POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds the token POS Tag as feature.

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

Initializes a new instance.

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

Initializes a new instance.

POSToSentenceSampleStream - Class in opennlp.tools.formats.convert

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

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

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

POSToTokenSampleStream - Class in opennlp.tools.formats.convert

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

POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStream
 
POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert

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

precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure

Calculates the precision score for the given reference and predicted spans.

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

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

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

Predict the most probable output sequence of tokens, given an input sequence of tokens

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

Predict Short Edit Script (automatically induced lemma class).

predIndexes - Variable in class opennlp.tools.ml.model.ComparableEvent
 
PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen
 
PrefixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
 
PrefixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
 
PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen

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

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

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

PreviousTwoMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
 
Prior - Interface in opennlp.tools.ml.model

This interface allows one to implement a prior distribution for use in
 maximum entropy model training.

Probabilities<T> - Class in opennlp.tools.ml.naivebayes

Class implementing the probability distribution over labels returned by a classifier.

Probabilities() - Constructor for class opennlp.tools.ml.naivebayes.Probabilities
 
Probability<T> - Class in opennlp.tools.ml.naivebayes

Class implementing the probability for a label.

Probability(T) - Constructor for class opennlp.tools.ml.naivebayes.Probability
 
probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME

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

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

Returns an array with the probabilities of the last decoded sequence.

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

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

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

Returns an array with the probabilities of the last decoded sequence.

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

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

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

Returns an array with the probabilities of the last decoded sequence.

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

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

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

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

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

Returns an array with the probabilities for each tag of the last tagged sentence.

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

Evaluates the given reference DocumentSample object.

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

Prune the specified sentence parse of vacuous productions.

ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
 
put(StringList) - Method in class opennlp.tools.dictionary.Dictionary

Adds the tokens to the dictionary as one new entry.

put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary

Associates the specified tags with the specified word.

put(String, String...) - Method in class opennlp.tools.postag.POSDictionary
 
put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, String) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, int) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, double) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
 
put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, String) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
 
putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
 




Q

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

Implementation of L-BFGS which supports L1-, L2-regularization
 and Elastic Net for solving convex optimization problems.

QNMinimizer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
QNMinimizer(double, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
QNMinimizer(double, double, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
QNMinimizer(double, double, int, int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
QNMinimizer(double, double, int, int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer

Constructor

QNMinimizer.Evaluator - Interface in opennlp.tools.ml.maxent.quasinewton

Evaluate quality of training parameters.

QNMinimizer.L2RegFunction - Class in opennlp.tools.ml.maxent.quasinewton

L2-regularized objective function

QNModel - Class in opennlp.tools.ml.maxent.quasinewton
 
QNModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNModel
 
QNModelReader - Class in opennlp.tools.ml.maxent.io
 
QNModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
 
QNModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
 
QNModelWriter - Class in opennlp.tools.ml.maxent.io
 
QNModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.QNModelWriter
 
QNTrainer - Class in opennlp.tools.ml.maxent.quasinewton

Maxent model trainer using L-BFGS algorithm.

QNTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
QNTrainer(boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
QNTrainer(int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
QNTrainer(int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
QNTrainer(int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
QNTrainer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 




R

read() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
 
read() - Method in class opennlp.tools.chunker.ChunkSampleStream
 
read() - Method in class opennlp.tools.doccat.DocumentSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.ad.ADSentenceStream
 
read() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
read() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
 
read() - Method in class opennlp.tools.formats.brat.BratDocumentStream
 
read() - Method in class opennlp.tools.formats.brat.SegmenterObjectStream
 
read() - Method in class opennlp.tools.formats.Conll02NameSampleStream
 
read() - Method in class opennlp.tools.formats.Conll03NameSampleStream
 
read() - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
 
read() - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStream
 
read() - Method in class opennlp.tools.formats.conllu.ConlluStream
 
read() - Method in class opennlp.tools.formats.ConllXPOSSampleStream
 
read() - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.convert.FileToByteArraySampleStream
 
read() - Method in class opennlp.tools.formats.convert.FileToStringSampleStream
 
read() - Method in class opennlp.tools.formats.convert.NameToTokenSampleStream
 
read() - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStream
 
read() - Method in class opennlp.tools.formats.convert.POSToTokenSampleStream
 
read() - Method in class opennlp.tools.formats.DirectorySampleStream
 
read() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
 
read() - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
 
read() - Method in class opennlp.tools.formats.LeipzigDoccatSampleStream
 
read() - Method in class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStream
 
read() - Method in class opennlp.tools.formats.muc.MucNameSampleStream
 
read() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
 
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
 
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
 
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
 
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleStream
 
read() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
 
read() - Method in class opennlp.tools.ml.model.FileEventStream
 
read() - Method in class opennlp.tools.ml.model.HashSumEventStream
 
read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream
 
read() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
 
read() - Method in class opennlp.tools.namefind.NameSampleDataStream
 
read() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
 
read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter
 
read() - Method in class opennlp.tools.parser.ChunkSampleStream
 
read() - Method in class opennlp.tools.parser.ParseSampleStream
 
read() - Method in class opennlp.tools.parser.PosSampleStream
 
read() - Method in class opennlp.tools.postag.POSSampleSequenceStream
 
read() - Method in class opennlp.tools.postag.WordTagSampleStream

Parses the next sentence and return the next
 POSSample object.

read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
 
read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream
 
read() - Method in class opennlp.tools.tokenize.TokenizerStream
 
read() - Method in class opennlp.tools.tokenize.TokenSampleStream
 
read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream
 
read() - Method in class opennlp.tools.util.AbstractEventStream
 
read() - Method in class opennlp.tools.util.AbstractObjectStream
 
read() - Method in class opennlp.tools.util.CollectionObjectStream
 
read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
 
read() - Method in class opennlp.tools.util.EventTraceStream
 
read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Writes the provided InputStream into a byte array
 which is returned

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

Returns the next object.

read() - Method in class opennlp.tools.util.ParagraphStream
 
read() - Method in class opennlp.tools.util.PlainTextByLineStream
 
readDouble() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readDouble() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
 
readDouble() - Method in interface opennlp.tools.ml.model.DataReader
 
readDouble() - Method in class opennlp.tools.ml.model.ObjectDataReader
 
readDouble() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
 
readInt() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readInt() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
 
readInt() - Method in interface opennlp.tools.ml.model.DataReader
 
readInt() - Method in class opennlp.tools.ml.model.ObjectDataReader
 
readInt() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
 
readUTF() - Method in class opennlp.tools.ml.model.AbstractModelReader

Implement as needed for the format the model is stored in.

readUTF() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
 
readUTF() - Method in interface opennlp.tools.ml.model.DataReader
 
readUTF() - Method in class opennlp.tools.ml.model.ObjectDataReader
 
readUTF() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
 
RealBasicEventStream - Class in opennlp.tools.ml.maxent
 
RealBasicEventStream(ObjectStream<String>) - Constructor for class opennlp.tools.ml.maxent.RealBasicEventStream
 
RealValueFileEventStream - Class in opennlp.tools.ml.model
 
RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
 
RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
 
RealValueFileEventStream(File) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
 
recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure

Calculates the recall score for the given reference and predicted spans.

recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern
 
reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream
 
RegexNameFinder - Class in opennlp.tools.namefind

Name finder based on a series of regular expressions.

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

Deprecated.

RegexNameFinderFactory - Class in opennlp.tools.namefind

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

RegexNameFinderFactory() - Constructor for class opennlp.tools.namefind.RegexNameFinderFactory
 
RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum in opennlp.tools.namefind
 
RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind
 
register(Map<String, ArtifactSerializer>) - Static method in class opennlp.tools.util.model.GenericModelSerializer
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ChunkerSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.DocumentSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.LeipzigDocumentSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.NameSampleDataStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.ParseSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.SentenceSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.TokenSampleStreamFactory
 
registerFactory() - Static method in class opennlp.tools.formats.WordTagSampleStreamFactory
 
REL_GRAD_NORM_TOL - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
RELATION_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
 
RelationAnnotation - Class in opennlp.tools.formats.brat
 
remove(StringList) - Method in class opennlp.tools.dictionary.Dictionary

Removes the given tokens form the current instance.

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

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

remove(int) - Method in class opennlp.tools.parser.Parse
 
remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
remove() - Method in class opennlp.tools.util.EventTraceStream
 
remove() - Method in class opennlp.tools.util.ReverseListIterator
 
replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream
 
reset() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
 
reset() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
 
reset() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
 
reset() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
 
reset() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
 
reset() - Method in class opennlp.tools.formats.brat.BratDocumentStream
 
reset() - Method in class opennlp.tools.formats.Conll02NameSampleStream
 
reset() - Method in class opennlp.tools.formats.Conll03NameSampleStream
 
reset() - Method in class opennlp.tools.formats.conllu.ConlluStream
 
reset() - Method in class opennlp.tools.formats.DirectorySampleStream
 
reset() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
 
reset() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
 
reset() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
 
reset() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
 
reset() - Method in class opennlp.tools.ml.model.FileEventStream
 
reset() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
 
reset() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
 
reset() - Method in class opennlp.tools.postag.POSSampleSequenceStream
 
reset() - Method in class opennlp.tools.stemmer.PorterStemmer

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

reset() - Method in class opennlp.tools.tokenize.TokenizerStream
 
reset() - Method in class opennlp.tools.util.AbstractEventStream
 
reset() - Method in class opennlp.tools.util.AbstractObjectStream
 
reset() - Method in class opennlp.tools.util.CollectionObjectStream
 
reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream

Resets the training sample.

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

Repositions the stream at the beginning and the previously seen object sequence
 will be repeated exactly.

reset() - Method in class opennlp.tools.util.PlainTextByLineStream
 
reset() - Method in interface opennlp.tools.util.ResetableIterator

Sets the Iterator back to the first retrieved element,
 the seen sequence of elements must be repeated.

ResetableIterator<E> - Interface in opennlp.tools.util

This interface makes an Iterator resetable.

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

An iterator for a list which returns values in the opposite order as the typical list iterator.

ReverseListIterator(List<T>) - Constructor for class opennlp.tools.util.ReverseListIterator
 




S

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

Returns a map in which the key is the category name and the value is the score

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

Returns a map in which the key is the category name and the value is the score

SDContextGenerator - Interface in opennlp.tools.sentdetect

Interface for SentenceDetectorME context generators.

SDCrossValidator - Class in opennlp.tools.sentdetect

A cross validator for the sentence detector.

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

Deprecated.
Use
             SDCrossValidator.SDCrossValidator(String, TrainingParameters,
             SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...)
             and pass in a SentenceDetectorFactory.


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

Deprecated.
use
             SDCrossValidator.SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory,
             SentenceDetectorEvaluationMonitor...)
             instead and pass in a TrainingParameters object.


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

Deprecated.
use SDCrossValidator.SDCrossValidator(String, TrainingParameters,
     SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...)
     instead and pass in a TrainingParameters object.


SDEventStream - Class in opennlp.tools.sentdetect
 
SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream

Initializes the current instance.

seen - Variable in class opennlp.tools.ml.model.ComparableEvent
 
SegmenterObjectStream<S,T> - Class in opennlp.tools.formats.brat
 
SegmenterObjectStream(ObjectStream<S>) - Constructor for class opennlp.tools.formats.brat.SegmenterObjectStream
 
sentDetect(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
 
sentDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Sentence detect a string.

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

Detect sentences in a String.

Sentence() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th

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

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

The interface for sentence detectors, which find the sentence boundaries in
 a text.

SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect
 
SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect

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

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

Initializes the current instance.

SentenceDetectorFactory - Class in opennlp.tools.sentdetect

The factory that provides SentenceDetecor default implementations and
 resources

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

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

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

Creates a SentenceDetectorFactory.

SentenceDetectorME - Class in opennlp.tools.sentdetect

A sentence detector for splitting up raw text into sentences.

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

Initializes the current instance.

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

Deprecated.
Use a SentenceDetectorFactory to extend
             SentenceDetector functionality.


SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen

This feature generator creates sentence begin and end features.

SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator
 
SentenceModel - Class in opennlp.tools.sentdetect

The SentenceModel is the model used
 by a learnable SentenceDetector.

SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(String, MaxentModel, boolean, Dictionary, char[], Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel

Deprecated.
Use
             SentenceModel.SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory)
             instead and pass in a SentenceDetectorFactory


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

Deprecated.
Use
             SentenceModel.SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory)
             instead and pass in a SentenceDetectorFactory


SentenceModel(String, MaxentModel, boolean, Dictionary, Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(String, MaxentModel, boolean, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel
 
SentenceParser() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
 
SentenceSample - Class in opennlp.tools.sentdetect

A SentenceSample contains a document with
 begin indexes of the individual sentences.

SentenceSample(CharSequence, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample

Initializes the current instance.

SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample
 
SentenceSampleStream - Class in opennlp.tools.sentdetect

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

SentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream
 
SentenceSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP SentenceSampleStreams.

sentPosDetect(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
 
sentPosDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector

Sentence detect a string.

sentPosDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME

Detect the position of the first words of sentences in a String.

Sequence<T> - Class in opennlp.tools.ml.model

Class which models a sequence.

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

Creates a new sequence made up of the specified events and derived from the
 specified source.

Sequence - Class in opennlp.tools.util

Represents a weighted sequence of outcomes.

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

Creates a new sequence of outcomes.

Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence
 
Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence
 
Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence
 
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer
 
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer
 
SequenceClassificationModel<T> - Interface in opennlp.tools.ml.model

A classification model that can label an input sequence.

SequenceCodec<T> - Interface in opennlp.tools.util
 
SequenceStream - Interface in opennlp.tools.ml.model

Interface for streams of sequences used to train sequence models.

SequenceStreamEventStream - Class in opennlp.tools.ml.model

Class which turns a sequence stream into an event stream.

SequenceStreamEventStream(SequenceStream) - Constructor for class opennlp.tools.ml.model.SequenceStreamEventStream
 
SequenceTrainer - Interface in opennlp.tools.ml
 
SequenceValidator<T> - Interface in opennlp.tools.util
 
SerializableArtifact - Interface in opennlp.tools.util.model
 
serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary

Writes the current instance to the given OutputStream.

serialize(OutputStream, Iterator<Entry>) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Deprecated.
Use
     DictionaryEntryPersistor.serialize(java.io.OutputStream, java.util.Iterator, boolean) instead


serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor

Serializes the given entries to the given OutputStream.

serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel

Writes the ngram instance to the given OutputStream.

serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
 
serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules

Writes the head rules to the writer in a format suitable for loading
 the head rules again with the constructor.

serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
 
serialize(Writer) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules

Writes the head rules to the writer in a format suitable for loading
 the head rules again with the constructor.

serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary

Writes the POSDictionary to the given OutputStream;

 After the serialization is finished the provided
 OutputStream remains open.

serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
 
serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary
 
serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
 
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster
 
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
 
serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
 
serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer

Serializes the artifact to the provided OutputStream.

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

Serializes the model to the given OutputStream.

serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
 
serialize(ChunkerModel, OutputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
 
serialize(Dictionary, OutputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
 
serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
 
serialize(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
 
serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters
 
set(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probabilities

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

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

Assigns a probability to a label, discarding any previously assigned probability.

setAll(double, double, double, double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Update line search elements

setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Update line search elements

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

Replaces the child at the specified index with a new child with the specified label.

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

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

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

Sets the count of an existing ngram.

setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
 
setCurrPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse

Specifies the derivation string to be associated with this parse.

setDictionary(Dictionary) - Method in class opennlp.tools.postag.POSTaggerFactory

Deprecated.

setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
 
setEnd(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser

Specifies whether the parser should report when it was unable to find a parse for
 a particular sentence.

setEvaluator(QNMinimizer.Evaluator) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
 
setFctEvalCount(int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory
 
setFunctionalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setGaussianSigma(double) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setGradAtCurr(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

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

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

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

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

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

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

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

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

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

Assigns a probability to a label, discarding any previously assigned probability,
 if the new probability is greater than the old one.

setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink

sets the item id.

setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink

Sets the item name.

setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink

returns the parent ID of the linked item

setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink

sets the item type.

setLabel(String) - Method in class opennlp.tools.parser.Constituent

Assigns the label to the constituent.

setLabel(String) - Method in class opennlp.tools.parser.Parse

Assigns this parse the specified label.

setLabels(String[], String[]) - Method in interface opennlp.tools.ml.model.Prior

Method to specify the label for the outcomes and contexts.

setLabels(String[], String[]) - Method in class opennlp.tools.ml.model.UniformPrior
 
setLemma(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setLevel(int) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setLexeme(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setLinkedEntries(ArrayList<T>) - Method in class opennlp.tools.entitylinker.LinkedSpan

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

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

Assigns a log probability to a label, discarding any previously assigned probability.

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

Assigns a log probability to a label, discarding any previously assigned probability.

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

Assigns a log probability to a label, discarding any previously assigned probability.

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

Assigns a log probability to a label, discarding any previously assigned probability.

setMetadata(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setmPatterns(Pattern[]) - Method in class opennlp.tools.namefind.RegexNameFinder
 
setNextPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse

Sets the set of punctuation tags which follow this parse.

setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Assigns the parameter or expected value at the specified outcomeIndex the specified value.

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

Specifies the parent parse node for this constituent.

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

Assigns parent references for the specified parse so that they
 are consistent with the children references.

setPrevPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse

Sets the set of punctuation tags which preceed this parse.

setPseudoGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setRoot(ADSentenceStream.SentenceParser.Node) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setScoreMap(HashMap<String, Double>) - Method in class opennlp.tools.entitylinker.BaseLink
 
setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan

sets the search term that is used to link this span to an external data
 source

setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan

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

setSignVector(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setSkippedAveraging(boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Enables skipped averaging, this flag changes the standard
 averaging to special averaging instead.

setSmoothing(boolean) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setSmoothingObservation(double) - Method in class opennlp.tools.ml.maxent.GISTrainer

Sets whether this trainer will use smoothing while training the model.

setStart(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
 
setStepSize(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setStepSizeDecrease(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Enables and sets step size decrease.

setsType(String) - Method in class opennlp.tools.namefind.RegexNameFinder
 
setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
 
setText(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
 
setTolerance(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer

Specifies the tolerance.

setType(String) - Method in class opennlp.tools.parser.Parse

Set the type of this constituent to the specified type.

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

Sets a key/value pair.

setValueAtCurr(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
setValueAtNext(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
 
SgmlParser - Class in opennlp.tools.formats.muc

SAX style SGML parser.

SgmlParser() - Constructor for class opennlp.tools.formats.muc.SgmlParser
 
SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc
 
show(StringBuffer) - Method in class opennlp.tools.parser.Parse

Appends the specified string buffer with a string representation of this parse.

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

Displays this parse using Penn Treebank-style formatting.

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

Prints to standard out a representation of the specified parse which
 contains hash codes so that parent/child relationships can be explicitly seen.

SimplePerceptronSequenceTrainer - Class in opennlp.tools.ml.perceptron

Trains models for sequences using the perceptron algorithm.

SimplePerceptronSequenceTrainer() - Constructor for class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
 
SimpleTokenizer - Class in opennlp.tools.tokenize

Performs tokenization using character classes.

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

Deprecated.
Use INSTANCE field instead to obtain an instance, constructor
     will be made private in the future.


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

Retrieves the number of tokens in the current instance.

size() - Method in class opennlp.tools.ngram.NGramModel

Retrieves the number of StringList entries in the current instance.

size() - Method in interface opennlp.tools.util.Heap

Deprecated.
Returns the size of the heap.

size() - Method in class opennlp.tools.util.ListHeap

Deprecated.
 
size() - Method in class opennlp.tools.util.StringList

Retrieves the number of tokens inside this list.

SnowballStemmer - Class in opennlp.tools.stemmer.snowball
 
SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
 
SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
 
SnowballStemmer.ALGORITHM - Enum in opennlp.tools.stemmer.snowball
 
SORT_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
 
SORT_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
 
sortedScoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer

Get a map of the scores sorted in ascending aorder together with their associated categories.

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

Returns a map with the score as a key in ascending order.

Span - Class in opennlp.tools.util

Class for storing start and end integer offsets.

Span(int, int, String) - Constructor for class opennlp.tools.util.Span

Initializes a new Span Object.

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

Initializes a new Span Object.

Span(int, int, double) - Constructor for class opennlp.tools.util.Span
 
Span(Span, int) - Constructor for class opennlp.tools.util.Span

Initializes a new Span object with an existing Span which is shifted by an
 offset.

Span(Span, double) - Constructor for class opennlp.tools.util.Span

Creates a new immutable span based on an existing span, where the existing span did not include the prob

SPAN_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
 
SpanAnnotation - Class in opennlp.tools.formats.brat
 
spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span

Converts an array of Spans to an array of Strings.

spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span
 
SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME

Constant indicates a sentence split.

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

Constant indicates a token split.

START - Static variable in class opennlp.tools.namefind.BilouCodec
 
START - Static variable in class opennlp.tools.namefind.BioCodec
 
START - Static variable in class opennlp.tools.namefind.NameFinderME
 
START - Static variable in class opennlp.tools.parser.AbstractBottomUpParser

Prefix for outcomes starting a constituent.

start(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
 
START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
 
START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream
 
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
 
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
 
startsWith(Span) - Method in class opennlp.tools.util.Span

Returns true if the specified span is the begin of this span and the
 specified span is contained in this span.

stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a String.

stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word provided as a CharSequence.

stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a char[].

stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a portion of a char[] array.

stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer

Stem a word contained in a leading portion of a char[] array.

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

Stem the word placed into the Stemmer buffer through calls to add().

stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer
 
stem() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
 
stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer
 
stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer
 
Stemmer - Interface in opennlp.tools.stemmer

The stemmer is reducing a word to its stem.

stop(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
 
StringList - Class in opennlp.tools.util

The StringList is an immutable list of Strings.

StringList(String) - Constructor for class opennlp.tools.util.StringList

Initializes the current instance.

StringList(String...) - Constructor for class opennlp.tools.util.StringList

Initializes the current instance.

StringPattern - Class in opennlp.tools.util.featuregen

Recognizes predefined patterns in strings.

StringUtil - Class in opennlp.tools.util
 
StringUtil() - Constructor for class opennlp.tools.util.StringUtil
 
SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen
 
SuffixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
 
SuffixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
 




T

tag(String[]) - Method in interface opennlp.tools.postag.POSTagger

Assigns the sentence of tokens pos tags.

tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
 
tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME
 
tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
 
tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME

Returns at most the specified number of taggings for the specified sentence.

TagDictionary - Interface in opennlp.tools.postag

Interface to determine which tags are valid for a particular word
 based on a tag dictionary.

thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
 
THREADS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
THREADS_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
THREADS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
 
toContraction(String, String) - Static method in class opennlp.tools.formats.ad.PortugueseContractionUtility

Merges a contraction

toDictionary() - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contain all StringList which
 are in the current NGramModel.

toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel

Creates a dictionary which contains all StringLists which
 are in the current NGramModel.

toDoubleArray(List<Double>) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

Convert a list of Double objects into an array of primitive doubles

toIntArray(List<Integer>) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath

Convert a list of Integer objects into an array of primitive integers

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

The label for a token node.

TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates features for different for the class of the token.

TokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
 
TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
 
TokenContextGenerator - Interface in opennlp.tools.tokenize

Interface for TokenizerME context generators.

tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil

Generates a class name for the specified token.

TokenFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates a feature which contains the token itself.

TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
 
TokenFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
 
tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer

Splits a string into its atomic parts

tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
 
tokenizePos(String) - Method in interface opennlp.tools.tokenize.Tokenizer

Finds the boundaries of atomic parts in a string.

tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME

Tokenizes the string.

tokenizePos(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer
 
Tokenizer - Interface in opennlp.tools.tokenize

The interface for tokenizers, which segment a string into its tokens.

TokenizerCrossValidator - Class in opennlp.tools.tokenize
 
TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
 
TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize
 
TokenizerEvaluator - Class in opennlp.tools.tokenize

The TokenizerEvaluator measures the performance of
 the given Tokenizer with the provided reference
 TokenSamples.

TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator

Initializes the current instance with the
 given Tokenizer.

TokenizerFactory - Class in opennlp.tools.tokenize

The factory that provides Tokenizer default implementations and
 resources.

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

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

TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory

Creates a TokenizerFactory.

TokenizerME - Class in opennlp.tools.tokenize

A Tokenizer for converting raw text into separated tokens.

TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME
 
TokenizerME(TokenizerModel, Factory) - Constructor for class opennlp.tools.tokenize.TokenizerME

Deprecated.
use TokenizerFactory to extend the Tokenizer
             functionality


TokenizerModel - Class in opennlp.tools.tokenize

The TokenizerModel is the model used
 by a learnable Tokenizer.

TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes the current instance.

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

Initializes the current instance.

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

Initializes the current instance.

TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel

Initializes the current instance.

TokenizerStream - Class in opennlp.tools.tokenize

The TokenizerStream uses a tokenizer to tokenize the
 input string and output TokenSamples.

TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream
 
TokenNameFinder - Interface in opennlp.tools.namefind

The interface for name finders which provide name tags for a sequence of tokens.

TokenNameFinderCrossValidator - Class in opennlp.tools.namefind
 
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator

Name finder cross validator

TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
 
TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
 
TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind
 
TokenNameFinderEvaluator - Class in opennlp.tools.namefind

The TokenNameFinderEvaluator measures the performance
 of the given TokenNameFinder with the provided
 reference NameSamples.

TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator

Initializes the current instance with the given
 TokenNameFinder.

TokenNameFinderFactory - Class in opennlp.tools.namefind
 
TokenNameFinderFactory() - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory

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

TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory
 
TokenNameFinderModel - Class in opennlp.tools.namefind

The TokenNameFinderModel is the model used
 by a learnable TokenNameFinder.

TokenNameFinderModel(String, SequenceClassificationModel<String>, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
 
TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind
 
TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen

Partitions tokens into sub-tokens based on character classes and generates
 class features for each of the sub-tokens and combinations of those sub-tokens.

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

Initializes a new instance.

TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator

Initializes a new instance.

TokenSample - Class in opennlp.tools.tokenize

A TokenSample is text with token spans.

TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample

Initializes the current instance.

TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample
 
TokenSampleStream - Class in opennlp.tools.tokenize.lang.en

Class which produces an Iterator<TokenSample> from a file of space delimited token.

TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream
 
TokenSampleStream - Class in opennlp.tools.tokenize

This class is a stream filter which reads in string encoded samples and creates
 TokenSamples out of them.

TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
 
TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
 
TokenSampleStreamFactory - Class in opennlp.tools.formats

Factory producing OpenNLP TokenSampleStreams.

TokenTag - Class in opennlp.tools.util
 
TokenTag(String, String, String[]) - Constructor for class opennlp.tools.util.TokenTag
 
TokSpanEventStream - Class in opennlp.tools.tokenize

This class reads the TokenSamples from the given Iterator
 and converts the TokenSamples into Events which
 can be used by the maxent library for training.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream

Initializes the current instance.

TOLERANCE_DEFAULT - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
toLine(Event) - Static method in class opennlp.tools.ml.model.FileEventStream

Generates a string representing the specified event.

toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil

Converts to lower case independent of the current locale via
 Character.toLowerCase(char) which uses mapping information
 from the UnicodeData file.

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

The label for the top node.

topKLemmaClasses(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
 
topKLemmaClasses(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
 
topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker

Returns the top k chunk sequences for the specified sentence with the specified pos-tags

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

Returns the top k chunk sequences for the specified sentence with the specified pos-tags

topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
 
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME
 
topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
 
topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
 
topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger
 
topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
 
topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME
 
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
 
toString() - Method in class opennlp.tools.chunker.ChunkSample
 
toString() - Method in class opennlp.tools.dictionary.Dictionary
 
toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator

Represents this objects as human readable String.

toString() - Method in class opennlp.tools.doccat.DocumentSample
 
toString() - Method in class opennlp.tools.entitylinker.BaseLink
 
toString() - Method in class opennlp.tools.entitylinker.LinkedSpan
 
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
 
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
 
toString() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
 
toString() - Method in class opennlp.tools.formats.brat.BratAnnotation
 
toString() - Method in class opennlp.tools.formats.brat.RelationAnnotation
 
toString() - Method in class opennlp.tools.formats.brat.SpanAnnotation
 
toString() - Method in class opennlp.tools.lemmatizer.LemmaSample
 
toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator

Represents this objects as human readable String.

toString() - Method in class opennlp.tools.ml.model.ComparableEvent
 
toString() - Method in class opennlp.tools.ml.model.ComparablePredicate
 
toString() - Method in class opennlp.tools.ml.model.Event
 
toString() - Method in class opennlp.tools.ml.naivebayes.LogProbability
 
toString() - Method in class opennlp.tools.ml.naivebayes.Probabilities
 
toString() - Method in class opennlp.tools.ml.naivebayes.Probability
 
toString() - Method in class opennlp.tools.namefind.NameSample
 
toString() - Method in class opennlp.tools.ngram.NGramModel
 
toString() - Method in class opennlp.tools.parser.Parse

Represents this parse in a human readable way.

toString() - Method in class opennlp.tools.postag.POSDictionary
 
toString() - Method in class opennlp.tools.postag.POSEvaluator

Represents this objects as human readable String.

toString() - Method in class opennlp.tools.postag.POSSample
 
toString() - Method in class opennlp.tools.sentdetect.SentenceSample
 
toString() - Method in class opennlp.tools.stemmer.PorterStemmer

After a word has been stemmed, it can be retrieved by toString(),
 or a reference to the internal buffer can be retrieved by getResultBuffer
 and getResultLength (which is generally more efficient.)

toString() - Method in class opennlp.tools.tokenize.TokenSample
 
toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
 
toString() - Method in class opennlp.tools.util.eval.FMeasure

Creates a human read-able String representation.

toString() - Method in class opennlp.tools.util.eval.Mean
 
toString() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
toString() - Method in class opennlp.tools.util.Sequence
 
toString() - Method in class opennlp.tools.util.Span

Generates a human readable string.

toString() - Method in class opennlp.tools.util.StringList
 
toString() - Method in class opennlp.tools.util.TokenTag
 
toString() - Method in class opennlp.tools.util.Version

Retrieves the version string.

toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil

Converts to upper case independent of the current locale via
 Character.toUpperCase(char) which uses mapping information
 from the UnicodeData file.

train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME
 
train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
 
train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
 
train(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
 
train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
 
train(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
 
train(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer
 
train(SequenceStream) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
 
train(ObjectStream<Event>) - Method in interface opennlp.tools.ml.EventTrainer
 
train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer
 
train(SequenceStream) - Method in interface opennlp.tools.ml.SequenceTrainer
 
train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME
 
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser
 
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser
 
train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser
 
train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME
 
train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.
Use
             SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)
             and pass in af SentenceDetectorFactory.


train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
 
train(String, ObjectStream<SentenceSample>, boolean, Dictionary) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME

Deprecated.
Use
             SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)
             and pass in af SentenceDetectorFactory.


train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME

Trains a model for the TokenizerME.

TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
 
TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
 
TrainerFactory - Class in opennlp.tools.ml
 
TrainerFactory() - Constructor for class opennlp.tools.ml.TrainerFactory
 
TrainerFactory.TrainerType - Enum in opennlp.tools.ml
 
TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
 
TrainingParameters - Class in opennlp.tools.util
 
TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters
 
TrainingParameters(TrainingParameters) - Constructor for class opennlp.tools.util.TrainingParameters
 
TrainingParameters(Map<String, String>) - Constructor for class opennlp.tools.util.TrainingParameters

Deprecated. 

TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters
 
trainModel(ObjectStream<Event>) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm, assuming 100 iterations and no
 cutoff.

trainModel(ObjectStream<Event>, int, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Trains a GIS model on the event in the specified event stream, using the specified number
 of iterations and the specified count cutoff.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer, Prior, int) - Method in class opennlp.tools.ml.maxent.GISTrainer

Train a model using the GIS algorithm.

trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
 
trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
trainModel(int, SequenceStream, int, boolean) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
 
TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
 
TrigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen

Adds trigram features based on tokens and token classes.

TrigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
 
trim(CharSequence) - Method in class opennlp.tools.util.Span

Return a copy of this span with leading and trailing white spaces removed.

TwoPassDataIndexer - Class in opennlp.tools.ml.model

Collecting event and context counts by making two passes over the events.

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




U

UncloseableInputStream - Class in opennlp.tools.util.model

An InputStream which cannot be closed.

UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream
 
UniformPrior - Class in opennlp.tools.ml.model

Provide a maximum entropy model with a uniform prior.

UniformPrior() - Constructor for class opennlp.tools.ml.model.UniformPrior
 
UNIT - Static variable in class opennlp.tools.namefind.BilouCodec
 
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
 
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator

Informs all the feature generators for a name finder that the specified tokens have
 been classified with the coorisponds set of specified outcomes.

updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

Informs the feature generator that the specified tokens have been classified with the
 corresponding set of specified outcomes.

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

Calls the AdaptiveFeatureGenerator.updateAdaptiveData(String[], String[])
 method on all aggregated AdaptiveFeatureGenerators.

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
 
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

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

updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
 
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
 
updateBuildModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
 
updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
 
updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel
 
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
 
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
 
updateContext(Sequence, AbstractModel) - Method in interface opennlp.tools.ml.model.SequenceStream

Creates a new event array based on the outcomes predicted by the specified parameters
 for the specified sequence.

updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream
 
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream
 
updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse

Computes the head parses for this parse and its sub-parses and stores this information
 in the parse data structure.

updateParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext

Updated the parameter or expected value at the specified outcomeIndex by
 adding the specified value to its current value.

updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure

Updates the score based on the number of true positives and
 the number of predictions and references.

updateSpan() - Method in class opennlp.tools.parser.Parse
 
updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel
 
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME

Returns the value of the alpha-numeric optimization flag.

useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerModel
 
useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse

Specifies whether function tags should be included as part of the constituent type.

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




V

validate() - Method in class opennlp.tools.ml.AbstractEventTrainer
 
validate() - Method in class opennlp.tools.ml.AbstractTrainer

Check parameters.

validate() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
 
validate() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
 
validate() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
 
validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory
 
validateArtifactMap() - Method in class opennlp.tools.doccat.DoccatFactory
 
validateArtifactMap() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
 
validateArtifactMap() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
 
validateArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
 
validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
 
validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
 
validateArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory

Validates the parsed artifacts.

validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil

Checks if the expected outcomes are all contained as outcomes in the given model.

validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.BilouNameFinderSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
 
validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
 
validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator
 
validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator

Determines whether a particular continuation of a sequence is valid.

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

Negative log-likelihood

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

Negative log-likelihood

valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
 
valueOf(String) - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.conllu.ConlluTagset

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.parser.ParserEventTypeEnum

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.parser.ParserType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum opennlp.tools.util.model.ModelType

Returns the enum constant of this type with the specified name.

values() - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.formats.conllu.ConlluTagset

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType

Returns an array containing the constants of this enum type, in
the order they are declared.

values - Variable in class opennlp.tools.ml.model.ComparableEvent
 
values() - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.parser.ParserEventTypeEnum

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.parser.ParserType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum opennlp.tools.util.model.ModelType

Returns an array containing the constants of this enum type, in
the order they are declared.

VERBOSE_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
 
VERBOSE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
 
Version - Class in opennlp.tools.util

The Version class represents the OpenNlp Tools library version.

Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version

Initializes the current instance with the provided
 versions.

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

Initializes the current instance with the provided
 versions.





W

WhitespaceTokenizer - Class in opennlp.tools.tokenize

This tokenizer uses white spaces to tokenize the input text.

WhitespaceTokenStream - Class in opennlp.tools.tokenize

This stream formats a TokenSamples into whitespace
 separated token strings.

WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream
 
WindowFeatureGenerator - Class in opennlp.tools.util.featuregen

Generates previous and next features for a given AdaptiveFeatureGenerator.

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

Initializes the current instance with the given parameters.

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

Initializes the current instance with the given parameters.

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

Initializes the current instance.

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

Initializes the current instance with the given parameters.

WordClusterDictionary - Class in opennlp.tools.util.featuregen
 
WordClusterDictionary(InputStream) - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary

Read word2vec and clark clustering style lexicons.

WordClusterDictionary.WordClusterDictionarySerializer - Class in opennlp.tools.util.featuregen
 
WordClusterDictionarySerializer() - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
 
WordClusterFeatureGenerator - Class in opennlp.tools.util.featuregen
 
WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
 
WordTagSampleStream - Class in opennlp.tools.postag

A stream filter which reads a sentence per line which contains
 words and tags in word_tag format and outputs a POSSample objects.

WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream

Initializes the current instance.

WordTagSampleStreamFactory - Class in opennlp.tools.formats

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

WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
 
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.model.AbstractModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.model.GenericModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
 
writeDouble(double) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.model.AbstractModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.model.GenericModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
 
writeInt(int) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
 
writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil

Writes the given model to the given OutputStream.

writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.model.AbstractModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.model.GenericModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
 
writeUTF(String) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
 




Z

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

The integer 0.


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