Uses of Interface
opennlp.tools.util.ObjectStream
Packages that use ObjectStream
Package
Description
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
Package for classifying a document into a category.
Experimental package related to converting various corpora to OpenNLP Format.
Experimental package related to the
Arvores Deitadas corpus format.Experimental package related to the corpus format used by the "brat rapid annotation tool" (brat).
Experimental package related to the CoNNL-U format.
Experimental package related to the French Treebank format.
Experimental package related to the Irish Sentence Bank format.
Experimental package related to the
Leipzig corpus format.Experimental package related to the
letsmt corpus format.Experimental package related to the
MASC corpus format.Experimental package related to the
MUC corpus format.Experimental package related to the National corpus of Polish
NKJP format.Experimental package related to the OntoNotes 4.0 format.
Package related to predicting languages from samples of text.
Package related to the lemmatizer functionality.
Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
Package related to ML by means of the Maximum Entropy (ME) algorithm.
Package related to ML models and feature selection techniques.
Package related to finding proper names and numeric amounts.
Package containing common code for performing full syntactic parsing.
Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
Package containing experimental code for performing full syntactic
parsing using attachment decisions.
Package related to part-of-speech tagging.
Package related to identifying sentence boundaries.
Contains classes related to finding token or words in a string.
Package containing utility data structures and algorithms used by multiple other packages.
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Uses of ObjectStream in opennlp.tools.chunker
Classes in opennlp.tools.chunker that implement ObjectStreamModifier and TypeClassDescriptionclassClass for creating an event stream out of data files for training aChunker.classASequenceStreamimplementation encapsulatingsamples.classParses the conll 2000 shared task shallow parser training data.Methods in opennlp.tools.chunker with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidChunkerCrossValidator.evaluate(ObjectStream<ChunkSample> samples, int nFolds) Starts the evaluation.static ChunkerModelChunkerME.train(String lang, ObjectStream<ChunkSample> in, TrainingParameters mlParams, ChunkerFactory factory) Starts a training of aChunkerModelwith the given parameters.Constructors in opennlp.tools.chunker with parameters of type ObjectStreamModifierConstructorDescriptionCreates a new event stream based on the specified data stream using the given context generator.ChunkSampleSequenceStream(ObjectStream<ChunkSample> samples, ChunkerContextGenerator generator) ChunkSampleStream(ObjectStream<String> samples) Initializes ainstance. -
Uses of ObjectStream in opennlp.tools.cmdline.namefind
Classes in opennlp.tools.cmdline.namefind that implement ObjectStreamModifier and TypeClassDescriptionclassCounts tokens, sentences and names by type.Methods in opennlp.tools.cmdline.namefind with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic DictionaryCensusDictionaryCreatorTool.createDictionary(ObjectStream<StringList> sampleStream) Creates a dictionary.Constructors in opennlp.tools.cmdline.namefind with parameters of type ObjectStreamModifierConstructorDescriptionprotectedNameSampleCountersStream(ObjectStream<NameSample> samples) -
Uses of ObjectStream in opennlp.tools.cmdline.parser
Methods in opennlp.tools.cmdline.parser with parameters of type ObjectStreamModifier and TypeMethodDescriptionprotected ParserModelBuildModelUpdaterTool.trainAndUpdate(ParserModel originalModel, ObjectStream<Parse> parseSamples, opennlp.tools.cmdline.parser.ModelUpdaterTool.ModelUpdaterParams parameters) protected ParserModelCheckModelUpdaterTool.trainAndUpdate(ParserModel originalModel, ObjectStream<Parse> parseSamples, opennlp.tools.cmdline.parser.ModelUpdaterTool.ModelUpdaterParams parameters) -
Uses of ObjectStream in opennlp.tools.doccat
Classes in opennlp.tools.doccat that implement ObjectStreamModifier and TypeClassDescriptionclassIterator-like class for modeling document classification events.classReads in string encoded training samples, parses them and outputsDocumentSampleobjects.Methods in opennlp.tools.doccat with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidDoccatCrossValidator.evaluate(ObjectStream<DocumentSample> samples, int nFolds) Starts the evaluation.static DoccatModelDocumentCategorizerME.train(String lang, ObjectStream<DocumentSample> samples, TrainingParameters mlParams, DoccatFactory factory) Starts a training of aDoccatModelwith the given parameters.Constructors in opennlp.tools.doccat with parameters of type ObjectStreamModifierConstructorDescriptionInitializes aDocumentCategorizerEventStreamvia samples.DocumentCategorizerEventStream(ObjectStream<DocumentSample> samples, FeatureGenerator... featureGenerators) Initializes aDocumentCategorizerEventStreamvia samples andfeature generators.DocumentSampleStream(ObjectStream<String> samples) Initializes ainstance. -
Uses of ObjectStream in opennlp.tools.formats
Classes in opennlp.tools.formats that implement ObjectStreamModifier and TypeClassDescriptionclassAsample streamfor the training files of the BioNLP/NLPBA 2004 shared task.classParser for the Dutch and Spanish ner training files of the CONLL 2002 shared task.classAn import stream which can parse the CONLL03 data.classParses the data from the CONLL 06 shared task into POS Samples.classThe directory sample stream allows for creating anObjectStream<File>from a directory listing of files.classParser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.classThis class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.classMethods in opennlp.tools.formats that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats with parameters of type ObjectStreamModifierConstructorDescriptionConll02NameSampleStream(Conll02NameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types) Initializes aConll02NameSampleStream.Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types) Initializes aConll03NameSampleStream.ConllXPOSSampleStream(ObjectStream<String> lineStream) Initializes aConllXPOSSampleStream.EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE lang, ObjectStream<String> lineStream, int types) NameFinderCensus90NameStream(ObjectStream<String> lineStream) Initializes aNameFinderCensus90NameStreamviaObjectStream<String>. -
Uses of ObjectStream in opennlp.tools.formats.ad
Classes in opennlp.tools.formats.ad that implement ObjectStreamModifier and TypeClassDescriptionclassParser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.classParser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.classNote: Do not use this class, internal use only!classNote: Do not use this class, internal use only!classStream filter which merges text lines into sentences, following the Arvores Deitadas syntax.Fields in opennlp.tools.formats.ad declared as ObjectStreamModifier and TypeFieldDescriptionprotected final ObjectStream<ADSentenceStream.Sentence>ADChunkSampleStream.adSentenceStreamMethods in opennlp.tools.formats.ad that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.ad with parameters of type ObjectStreamModifierConstructorDescriptionADChunkSampleStream(ObjectStream<String> lineStream) Instantiates aADChunkSampleStreamstream fromObjectStream<String>, that could be aPlainTextByLineStreamobject.ADNameSampleStream(ObjectStream<String> lineStream, boolean splitHyphenatedTokens) Initializes a newADNameSampleStreamstream from aObjectStream<String>, that could be aPlainTextByLineStreamobject.ADPOSSampleStream(ObjectStream<String> lineStream, boolean expandME, boolean includeFeatures) Creates a newADPOSSampleStreamstream from aObjectStream<String>, that could be aPlainTextByLineStreamobject.ADSentenceSampleStream(ObjectStream<String> lineStream, boolean includeHeadlines) Initializes a newADSentenceSampleStreamfrom aObjectStream<String>, that could be aPlainTextByLineStreamobject.ADSentenceStream(ObjectStream<String> lineStream) -
Uses of ObjectStream in opennlp.tools.formats.brat
Classes in opennlp.tools.formats.brat that implement ObjectStreamModifier and TypeClassDescriptionclassReads the annotations from the brat.annannotation file.classclassGenerates Name Sample objects for a Brat Document object.classMethods in opennlp.tools.formats.brat that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.brat with parameters of type ObjectStreamModifierConstructorDescriptionBratNameSampleStream(SentenceDetector sentDetector, Tokenizer tokenizer, ObjectStream<BratDocument> samples) Creates a newBratNameSampleStream.BratNameSampleStream(SentenceDetector sentDetector, Tokenizer tokenizer, ObjectStream<BratDocument> samples, Set<String> nameTypes) Creates a newBratNameSampleStream.BratNameSampleStream(SentenceModel sentModel, TokenizerModel tokenModel, ObjectStream<BratDocument> samples) Creates a newBratNameSampleStream.BratNameSampleStream(SentenceModel sentModel, TokenizerModel tokenModel, ObjectStream<BratDocument> samples, Set<String> nameTypes) Creates a newBratNameSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.conllu
Classes in opennlp.tools.formats.conllu that implement ObjectStreamModifier and TypeClassDescriptionclassclassclassclassThe CoNNL-U Format is specified here.classMethods in opennlp.tools.formats.conllu that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.conllu with parameters of type ObjectStreamModifierConstructorDescriptionConlluLemmaSampleStream(ObjectStream<ConlluSentence> samples, ConlluTagset tagset) Initializes aConlluLemmaSampleStream.ConlluPOSSampleStream(ObjectStream<ConlluSentence> samples, ConlluTagset tagset) Initializes aConlluPOSSampleStream.ConlluSentenceSampleStream(ObjectStream<ConlluSentence> samples, int sentencesPerSample) Initializes aConlluSentenceSampleStream.Initializes aConlluTokenSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.convert
Classes in opennlp.tools.formats.convert that implement ObjectStreamModifier and TypeClassDescriptionclassclassNote: Do not use this class, internal use only!classProvides the ability to read the contents of files contained in an object stream of files.classNote: Do not use this class, internal use only!classNote: Do not use this class, internal use only!classNote: Do not use this class, internal use only!classNote: Do not use this class, internal use only!classNote: Do not use this class, internal use only!Methods in opennlp.tools.formats.convert that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.convert with parameters of type ObjectStreamModifierConstructorDescriptionFileToByteArraySampleStream(ObjectStream<File> samples) Initializes aFileToByteArraySampleStream.FileToStringSampleStream(ObjectStream<File> samples, Charset encoding) Initializes aFileToStringSampleStream.NameToSentenceSampleStream(Detokenizer detokenizer, ObjectStream<NameSample> samples, int chunkSize) Initializes aNameToSentenceSampleStream.NameToTokenSampleStream(Detokenizer detokenizer, ObjectStream<NameSample> samples) Initializes aNameToTokenSampleStream.ParseToPOSSampleStream(ObjectStream<Parse> samples) Initializes aParseToPOSSampleStream.POSToSentenceSampleStream(Detokenizer detokenizer, ObjectStream<POSSample> samples, int chunkSize) Initializes aPOSToSentenceSampleStream.POSToTokenSampleStream(Detokenizer detokenizer, ObjectStream<POSSample> samples) Initializes aPOSToTokenSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.frenchtreebank
Classes in opennlp.tools.formats.frenchtreebank that implement ObjectStreamMethods in opennlp.tools.formats.frenchtreebank that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.frenchtreebank with parameters of type ObjectStreamModifierConstructorDescriptionprotectedConstitParseSampleStream(ObjectStream<byte[]> samples) Initializes aConstitParseSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.irishsentencebank
Methods in opennlp.tools.formats.irishsentencebank that return ObjectStreamModifier and TypeMethodDescription -
Uses of ObjectStream in opennlp.tools.formats.leipzig
Classes in opennlp.tools.formats.leipzig that implement ObjectStreamMethods in opennlp.tools.formats.leipzig that return ObjectStreamModifier and TypeMethodDescription -
Uses of ObjectStream in opennlp.tools.formats.letsmt
Classes in opennlp.tools.formats.letsmt that implement ObjectStreamMethods in opennlp.tools.formats.letsmt that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.letsmt with parameters of type ObjectStreamModifierConstructorDescriptionDetokenizeSentenceSampleStream(Detokenizer detokenizer, ObjectStream<SentenceSample> samples) Initializes aDetokenizeSentenceSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.masc
Classes in opennlp.tools.formats.masc that implement ObjectStreamModifier and TypeClassDescriptionclassclassclassclassclassMethods in opennlp.tools.formats.masc that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.masc with parameters of type ObjectStreamModifierConstructorDescriptionInitializesMascNamedEntitySampleStreamfrom a stream ofdocuments.MascPOSSampleStream(ObjectStream<MascDocument> samples) InitializesMascPOSSampleStreamfrom a stream ofdocuments.MascSentenceSampleStream(ObjectStream<MascDocument> samples, int sentencesPerSample) MascTokenSampleStream(ObjectStream<MascDocument> samples) Initializes aMascTokenSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.moses
Classes in opennlp.tools.formats.moses that implement ObjectStreamMethods in opennlp.tools.formats.moses that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.moses with parameters of type ObjectStreamModifierConstructorDescriptionMosesSentenceSampleStream(ObjectStream<String> sentences) Initializes aMosesSentenceSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.muc
Classes in opennlp.tools.formats.muc that implement ObjectStreamMethods in opennlp.tools.formats.muc that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.muc with parameters of type ObjectStreamModifierConstructorDescriptionprotectedMucNameSampleStream(Tokenizer tokenizer, ObjectStream<String> samples) Initializes aMucNameSampleStream. -
Uses of ObjectStream in opennlp.tools.formats.nkjp
Classes in opennlp.tools.formats.nkjp that implement ObjectStreamMethods in opennlp.tools.formats.nkjp that return ObjectStreamModifier and TypeMethodDescription -
Uses of ObjectStream in opennlp.tools.formats.ontonotes
Classes in opennlp.tools.formats.ontonotes that implement ObjectStreamModifier and TypeClassDescriptionclassReads a plain text file and return each line as aStringobject.className Sample Stream parser for the OntoNotes 4.0 corpus.classMethods in opennlp.tools.formats.ontonotes that return ObjectStreamModifier and TypeMethodDescriptionConstructors in opennlp.tools.formats.ontonotes with parameters of type ObjectStreamModifierConstructorDescriptionDocumentToLineStream(ObjectStream<String> samples) Initializes aDocumentToLineStream.OntoNotesNameSampleStream(ObjectStream<String> samples) Initializes aOntoNotesNameSampleStream.OntoNotesParseSampleStream(ObjectStream<String> samples) Initializes aOntoNotesParseSampleStream. -
Uses of ObjectStream in opennlp.tools.langdetect
Classes in opennlp.tools.langdetect that implement ObjectStreamModifier and TypeClassDescriptionclassIterator-like class for modeling an event stream ofsamples.classThis class reads in string encodedtraining samples, parses them and outputsLanguageSampleobjects.Methods in opennlp.tools.langdetect with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidLanguageDetectorCrossValidator.evaluate(ObjectStream<LanguageSample> samples, int nFolds) Starts the evaluation.static LanguageDetectorModelLanguageDetectorME.train(ObjectStream<LanguageSample> samples, TrainingParameters mlParams, LanguageDetectorFactory factory) Starts a training of aLanguageDetectorModelwith the given parameters.Constructors in opennlp.tools.langdetect with parameters of type ObjectStreamModifierConstructorDescriptionInitializes an instance via samples and feature generators.LanguageDetectorSampleStream(ObjectStream<String> samples) Initializes ainstance. -
Uses of ObjectStream in opennlp.tools.lemmatizer
Classes in opennlp.tools.lemmatizer that implement ObjectStreamModifier and TypeClassDescriptionclassClass for creating an event stream out of data files for training a probabilisticLemmatizer.classASequenceStreamimplementation encapsulatingsamples.classReads data for training and testing theLemmatizer.Methods in opennlp.tools.lemmatizer with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic LemmatizerModelLemmatizerME.train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters params, LemmatizerFactory factory) Starts a training of aLemmatizerModelwith the given parameters.Constructors in opennlp.tools.lemmatizer with parameters of type ObjectStreamModifierConstructorDescriptionCreates a new event stream based on the specified data stream using aLemmatizerContextGenerator.LemmaSampleSequenceStream(ObjectStream<LemmaSample> samples, LemmatizerContextGenerator contextGenerator) LemmaSampleStream(ObjectStream<String> samples) Initializes ainstance. -
Uses of ObjectStream in opennlp.tools.ml
Methods in opennlp.tools.ml with parameters of type ObjectStreamModifier and TypeMethodDescriptionAbstractEventTrainer.getDataIndexer(ObjectStream<Event> events) final MaxentModelAbstractEventTrainer.train(ObjectStream<Event> events) EventTrainer.train(ObjectStream<Event> events) Trains aMaxentModelfor givenevents. -
Uses of ObjectStream in opennlp.tools.ml.maxent
Classes in opennlp.tools.ml.maxent that implement ObjectStreamMethods in opennlp.tools.ml.maxent with parameters of type ObjectStreamModifier and TypeMethodDescriptionGISTrainer.trainModel(ObjectStream<Event> eventStream) Trains a model using the GIS algorithm, assuming 100 iterations and no cutoff.GISTrainer.trainModel(ObjectStream<Event> eventStream, int iterations, int cutoff) Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.Constructors in opennlp.tools.ml.maxent with parameters of type ObjectStream -
Uses of ObjectStream in opennlp.tools.ml.model
Subinterfaces of ObjectStream in opennlp.tools.ml.modelModifier and TypeInterfaceDescriptioninterfaceInterface for streams ofsequencesused to train sequence models.Classes in opennlp.tools.ml.model that implement ObjectStreamModifier and TypeClassDescriptionclassClass for using a file ofeventsas anevent stream.classA hash sum basedAbstractObjectStreamimplementation.classClass for using a file of real-valuedeventsas anevent stream.classClass which turns aSequenceStreaminto an event stream.Methods in opennlp.tools.ml.model with parameters of type ObjectStreamModifier and TypeMethodDescriptionprotected List<ComparableEvent>Performs the data indexing.voidDataIndexer.index(ObjectStream<Event> eventStream) Performs the data indexing.voidOnePassDataIndexer.index(ObjectStream<Event> eventStream) Performs the data indexing.voidTwoPassDataIndexer.index(ObjectStream<Event> eventStream) Performs the data indexing.Constructors in opennlp.tools.ml.model with parameters of type ObjectStream -
Uses of ObjectStream in opennlp.tools.namefind
Classes in opennlp.tools.namefind that implement ObjectStreamModifier and TypeClassDescriptionclassClass for creating an event stream out of data files for training anTokenNameFinder.classTheNameSampleDataStreamclass converts taggedstringsprovided by aDataStreamtoNameSampleobjects.classASequenceStreamimplementation encapsulatingsamples.classAstreamwhich removesname sampleswhich do not have a certain type.Methods in opennlp.tools.namefind with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidTokenNameFinderCrossValidator.evaluate(ObjectStream<NameSample> samples, int nFolds) Starts the evaluation.static TokenNameFinderModelNameFinderME.train(String languageCode, String type, ObjectStream<NameSample> samples, TrainingParameters params, TokenNameFinderFactory factory) Starts a training of aTokenNameFinderModelwith the given parameters.Constructors in opennlp.tools.namefind with parameters of type ObjectStreamModifierConstructorDescriptionNameFinderEventStream(ObjectStream<NameSample> dataStream, String type, NameContextGenerator contextGenerator, SequenceCodec<String> codec) Initializes aNameSampleDataStreamwith givenpsisamples.Initializes aNameSampleSequenceStreamwith givenpsisamples.NameSampleSequenceStream(ObjectStream<NameSample> psi, NameContextGenerator pcg, boolean useOutcomes) NameSampleSequenceStream(ObjectStream<NameSample> psi, NameContextGenerator pcg, boolean useOutcomes, SequenceCodec<String> seqCodec) NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen) NameSampleSequenceStream(ObjectStream<NameSample> psi, AdaptiveFeatureGenerator featureGen, boolean useOutcomes) NameSampleTypeFilter(String[] types, ObjectStream<NameSample> samples) Initializes aNameSampleTypeFilter.NameSampleTypeFilter(Set<String> types, ObjectStream<NameSample> samples) Initializes aNameSampleTypeFilter. -
Uses of ObjectStream in opennlp.tools.parser
Classes in opennlp.tools.parser that implement ObjectStreamModifier and TypeClassDescriptionclassAbstract class extended by parser event streams which perform tagging and chunking.classclassclassMethods in opennlp.tools.parser with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic DictionaryAbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data, HeadRules rules, int cutoff) Creates a n-gramDictionaryfrom the specified data stream usingHeadRulesand specified cut-off.static DictionaryAbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data, HeadRules rules, TrainingParameters params) Creates a n-gramDictionaryfrom the specified data stream using the specified head rule and specified cut-off.voidParserCrossValidator.evaluate(ObjectStream<Parse> samples, int nFolds) Starts the evaluation.Constructors in opennlp.tools.parser with parameters of type ObjectStreamModifierConstructorDescriptionAbstractParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype) AbstractParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict) Initializes ainstance.Initializes ainstance.Initializes ainstance. -
Uses of ObjectStream in opennlp.tools.parser.chunking
Classes in opennlp.tools.parser.chunking that implement ObjectStreamModifier and TypeClassDescriptionclassWrapper class for one of fourshift-reduce parserevent streams.Methods in opennlp.tools.parser.chunking with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic ParserModelParser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams) Starts a training of aParserModel.Constructors in opennlp.tools.parser.chunking with parameters of type ObjectStreamModifierConstructorDescriptionParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype) ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict) -
Uses of ObjectStream in opennlp.tools.parser.treeinsert
Classes in opennlp.tools.parser.treeinsert that implement ObjectStreamModifier and TypeClassDescriptionclassWrapper class for one of fourbuilt-attach parserevent streams.Methods in opennlp.tools.parser.treeinsert with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic ParserModelParser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cutoff) Starts a training of aParserModel.static ParserModelParser.train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams) Starts a training of aParserModel.Constructors in opennlp.tools.parser.treeinsert with parameters of type ObjectStreamModifierConstructorDescriptionParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype) ParserEventStream(ObjectStream<Parse> d, HeadRules rules, ParserEventTypeEnum etype, Dictionary dict) -
Uses of ObjectStream in opennlp.tools.postag
Classes in opennlp.tools.postag that implement ObjectStreamModifier and TypeClassDescriptionclassclassASequenceStreamimplementation encapsulatingsamples.classA stream filter which reads a sentence per line which contains words and tags inword_tagformat and outputs aPOSSampleobjects.Methods in opennlp.tools.postag with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic DictionaryPOSTaggerME.buildNGramDictionary(ObjectStream<POSSample> samples, int cutoff) Constructs anGram dictionaryfrom anObjectStreamof samples.voidPOSTaggerCrossValidator.evaluate(ObjectStream<POSSample> samples, int nFolds) Starts the evaluation.static voidPOSTaggerME.populatePOSDictionary(ObjectStream<POSSample> samples, MutableTagDictionary dict, int cutoff) Populates aPOSDictionaryfrom anObjectStreamof samples.static POSModelPOSTaggerME.train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSTaggerFactory posFactory) Constructors in opennlp.tools.postag with parameters of type ObjectStreamModifierConstructorDescriptionPOSSampleEventStream(ObjectStream<POSSample> samples) Initializes the current instance with given samples and aDefaultPOSContextGenerator.POSSampleEventStream(ObjectStream<POSSample> samples, POSContextGenerator cg) Initializes the current instance with the given samples and aPOSContextGenerator.WordTagSampleStream(ObjectStream<String> sentences) Initializes aPOSSampleinstance. -
Uses of ObjectStream in opennlp.tools.sentdetect
Classes in opennlp.tools.sentdetect that implement ObjectStreamModifier and TypeClassDescriptionclassObjectStreamto 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.classclassThis class is a stream filter which reads a sentence by line samples from anObjectStreamand converts them intoSentenceSampleobjects.Methods in opennlp.tools.sentdetect with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidSDCrossValidator.evaluate(ObjectStream<SentenceSample> samples, int nFolds) Starts the evaluation.static SentenceModelSentenceDetectorME.train(String languageCode, ObjectStream<SentenceSample> samples, SentenceDetectorFactory sdFactory, TrainingParameters mlParams) Starts a training of aSentenceModelwith the given parameters.Constructors in opennlp.tools.sentdetect with parameters of type ObjectStreamModifierConstructorDescriptionSDEventStream(ObjectStream<SentenceSample> samples, SDContextGenerator cg, EndOfSentenceScanner scanner) Initializes the current instance.SentenceSampleStream(ObjectStream<String> sentences) -
Uses of ObjectStream in opennlp.tools.tokenize
Classes in opennlp.tools.tokenize that implement ObjectStreamModifier and TypeClassDescriptionclassclassThis class is astream filterwhich reads in string encoded samples and createssamplesout of them.classclassThis stream formatsObjectStreamofsamplesinto whitespace separated token strings.Methods in opennlp.tools.tokenize with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidTokenizerCrossValidator.evaluate(ObjectStream<TokenSample> samples, int nFolds) Starts the evaluation.static TokenizerModelTokenizerME.train(ObjectStream<TokenSample> samples, TokenizerFactory factory, TrainingParameters mlParams) Trains a model for theTokenizerME.Constructors in opennlp.tools.tokenize with parameters of type ObjectStreamModifierConstructorDescriptionTokenizerStream(Tokenizer tokenizer, ObjectStream<String> input) Initializes ainstance.TokenSampleStream(ObjectStream<String> sentences) Initializes ainstance.TokenSampleStream(ObjectStream<String> samples, String separatorChars) Initializes ainstance.TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics) Initializes a new event stream based on the data stream using aTokenContextGeneratorthat relies on aDefaultTokenContextGenerator.TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics, Pattern alphaNumeric, TokenContextGenerator cg) Initializes a new event stream based on the data stream using aTokenContextGenerator.TokSpanEventStream(ObjectStream<TokenSample> tokenSamples, boolean skipAlphaNumerics, TokenContextGenerator cg) Initializes a new event stream based on the data stream using aTokenContextGenerator.WhitespaceTokenStream(ObjectStream<TokenSample> tokens) Initializes aWhitespaceTokenStream. -
Uses of ObjectStream in opennlp.tools.util
Classes in opennlp.tools.util that implement ObjectStreamModifier and TypeClassDescriptionclassA baseObjectStreamimplementation for events.classA baseObjectStreamimplementation.classAnObjectStreamimplementation that works on aCollectionofCollectionObjectStreamas source for elements.classclassFilterObjectStream<S,T> Abstract base class for filteringstreams.classAFilterObjectStreamwhich merges text lines into paragraphs.classReads a plain text file and returns each line as aStringobject.Fields in opennlp.tools.util declared as ObjectStreamMethods in opennlp.tools.util that return ObjectStreamModifier and TypeMethodDescriptionstatic <T> ObjectStream<T>ObjectStreamUtils.concatenateObjectStream(Collection<ObjectStream<T>> streams) Creates a single concatenatedObjectStreamfrom multiple individualstreamswith the same typeObjectStreamUtils.static <T> ObjectStream<T>ObjectStreamUtils.concatenateObjectStream(ObjectStream<T>... streams) Creates a single concatenatedObjectStreamfrom multiple individualstreamswith the same type.static <T> ObjectStream<T>ObjectStreamUtils.createObjectStream(Collection<T> collection) Creates anObjectStreamform aCollection<T>.static <T> ObjectStream<T>ObjectStreamUtils.createObjectStream(T... array) Creates anObjectStreamform an array ofObjectStreamUtils.Methods in opennlp.tools.util with parameters of type ObjectStreamModifier and TypeMethodDescriptionstatic <T> ObjectStream<T>ObjectStreamUtils.concatenateObjectStream(ObjectStream<T>... streams) Creates a single concatenatedObjectStreamfrom multiple individualstreamswith the same type.Method parameters in opennlp.tools.util with type arguments of type ObjectStreamModifier and TypeMethodDescriptionstatic <T> ObjectStream<T>ObjectStreamUtils.concatenateObjectStream(Collection<ObjectStream<T>> streams) Creates a single concatenatedObjectStreamfrom multiple individualstreamswith the same typeObjectStreamUtils.Constructors in opennlp.tools.util with parameters of type ObjectStreamModifierConstructorDescriptionAbstractEventStream(ObjectStream<T> samples) Initializes anAbstractEventStreamwith a sampleIterator.protectedAbstractObjectStream(ObjectStream<T> stream) Initializes anAbstractObjectStream.EventTraceStream(ObjectStream<Event> stream, Writer writer) Initializes anEventTraceStream.protectedFilterObjectStream(ObjectStream<S> samples) Initializes anFilterObjectStream.ParagraphStream(ObjectStream<String> lineStream) Initializes anFilterObjectStream. -
Uses of ObjectStream in opennlp.tools.util.eval
Classes in opennlp.tools.util.eval that implement ObjectStreamModifier and TypeClassDescriptionstatic classTheCrossValidationPartitioner.TrainingSampleStreamwhich iterates over all training elements.Methods in opennlp.tools.util.eval that return ObjectStreamModifier and TypeMethodDescriptionCrossValidationPartitioner.TrainingSampleStream.getTestSampleStream()Retrieves theObjectStreamover the test/evaluations elements and poisons thisCrossValidationPartitioner.TrainingSampleStream.Methods in opennlp.tools.util.eval with parameters of type ObjectStreamModifier and TypeMethodDescriptionvoidEvaluator.evaluate(ObjectStream<T> samples) Reads allsample objectsand evaluates each instance via theEvaluator.evaluateSample(Object)method.Constructors in opennlp.tools.util.eval with parameters of type ObjectStreamModifierConstructorDescriptionCrossValidationPartitioner(ObjectStream<E> inElements, int numberOfPartitions) InitializesCrossValidationPartitionerinstance.