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Packages that use Dictionary | |
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opennlp.tools.cmdline.namefind | |
opennlp.tools.coref | Package related to performing coreference resolution. |
opennlp.tools.dictionary | Package related to parsing and storing dictionaries. |
opennlp.tools.namefind | Package related to finding proper names and numeric amounts. |
opennlp.tools.ngram | Package related to computing and storing n-gram frequencies. |
opennlp.tools.parser | Package containing common code for performing full syntactic parsing. |
opennlp.tools.parser.chunking | Package containing code for performing full syntactic parsing using shift/reduce-style decisions. |
opennlp.tools.parser.treeinsert | Package containing experimental code for performing full syntactic parsing using attachment decisions. |
opennlp.tools.postag | Package related to part-of-speech tagging. |
opennlp.tools.sentdetect | Package related to identifying sentece boundries. |
opennlp.tools.tokenize | Contains classes related to finding token or words in a string. |
opennlp.tools.util.featuregen | This package contains classes for generating sequence features. |
Uses of Dictionary in opennlp.tools.cmdline.namefind |
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Methods in opennlp.tools.cmdline.namefind that return Dictionary | |
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static Dictionary |
CensusDictionaryCreatorTool.createDictionary(ObjectStream<StringList> sampleStream)
Creates a dictionary. |
Uses of Dictionary in opennlp.tools.coref |
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Methods in opennlp.tools.coref that return Dictionary | |
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Dictionary |
CorefModel.getFemaleNames()
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Dictionary |
CorefModel.getMaleNames()
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Uses of Dictionary in opennlp.tools.dictionary |
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Methods in opennlp.tools.dictionary that return Dictionary | |
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static Dictionary |
Dictionary.parseOneEntryPerLine(Reader in)
Reads a dictionary which has one entry per line. |
Uses of Dictionary in opennlp.tools.namefind |
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Constructors in opennlp.tools.namefind with parameters of type Dictionary | |
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DictionaryNameFinder(Dictionary dictionary)
Initializes the current instance with the provided dictionary. |
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DictionaryNameFinder(Dictionary dictionary,
String type)
Initialized the current instance with he provided dictionary and a type. |
Uses of Dictionary in opennlp.tools.ngram |
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Methods in opennlp.tools.ngram that return Dictionary | |
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Dictionary |
NGramModel.toDictionary()
Creates a dictionary which contain all StringList which
are in the current NGramModel . |
Dictionary |
NGramModel.toDictionary(boolean caseSensitive)
Creates a dictionary which contains all StringList s which
are in the current NGramModel . |
Uses of Dictionary in opennlp.tools.parser |
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Fields in opennlp.tools.parser declared as Dictionary | |
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protected Dictionary |
AbstractParserEventStream.dict
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Methods in opennlp.tools.parser that return Dictionary | |
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static Dictionary |
AbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data,
HeadRules rules,
int cutoff)
Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off. |
static Dictionary |
AbstractBottomUpParser.buildDictionary(ObjectStream<Parse> data,
HeadRules rules,
TrainingParameters params)
Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off. |
Constructors in opennlp.tools.parser with parameters of type Dictionary | |
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AbstractParserEventStream(ObjectStream<Parse> d,
HeadRules rules,
ParserEventTypeEnum etype,
Dictionary dict)
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Uses of Dictionary in opennlp.tools.parser.chunking |
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Constructors in opennlp.tools.parser.chunking with parameters of type Dictionary | |
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BuildContextGenerator(Dictionary dict)
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ParserEventStream(ObjectStream<Parse> d,
HeadRules rules,
ParserEventTypeEnum etype,
Dictionary dict)
Create an event stream based on the specified data stream of the specified type using the specified head rules. |
Uses of Dictionary in opennlp.tools.parser.treeinsert |
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Constructors in opennlp.tools.parser.treeinsert with parameters of type Dictionary | |
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ParserEventStream(ObjectStream<Parse> d,
HeadRules rules,
ParserEventTypeEnum etype,
Dictionary dict)
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Uses of Dictionary in opennlp.tools.postag |
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Fields in opennlp.tools.postag declared as Dictionary | |
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protected Dictionary |
POSTaggerFactory.ngramDictionary
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protected Dictionary |
POSTaggerME.ngramDictionary
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Methods in opennlp.tools.postag that return Dictionary | |
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static Dictionary |
POSTaggerME.buildNGramDictionary(ObjectStream<POSSample> samples,
int cutoff)
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Dictionary |
POSTaggerFactory.getDictionary()
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Dictionary |
POSModel.getNgramDictionary()
Retrieves the ngram dictionary. |
Methods in opennlp.tools.postag with parameters of type Dictionary | |
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static POSTaggerFactory |
POSTaggerFactory.create(String subclassName,
Dictionary ngramDictionary,
TagDictionary posDictionary)
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protected void |
POSTaggerFactory.init(Dictionary ngramDictionary,
TagDictionary posDictionary)
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void |
POSTaggerFactory.setDictionary(Dictionary ngramDict)
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static POSModel |
POSTaggerME.train(String languageCode,
ObjectStream<POSSample> samples,
ModelType modelType,
POSDictionary tagDictionary,
Dictionary ngramDictionary,
int cutoff,
int iterations)
Deprecated. use POSTaggerME.train(String, ObjectStream, TrainingParameters, POSTaggerFactory)
instead and pass in a POSTaggerFactory and a
TrainingParameters . |
static POSModel |
POSTaggerTrainer.train(String languageCode,
ObjectStream<POSSample> samples,
POSDictionary tagDictionary,
Dictionary ngramDictionary,
int cutoff,
int iterations)
Deprecated. |
static POSModel |
POSTaggerME.train(String languageCode,
ObjectStream<POSSample> samples,
TrainingParameters trainParams,
POSDictionary tagDictionary,
Dictionary ngramDictionary)
Deprecated. use POSTaggerME.train(String, ObjectStream, TrainingParameters, POSTaggerFactory)
instead and pass in a POSTaggerFactory . |
Uses of Dictionary in opennlp.tools.sentdetect |
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Methods in opennlp.tools.sentdetect that return Dictionary | |
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Dictionary |
SentenceDetectorFactory.getAbbreviationDictionary()
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Dictionary |
SentenceModel.getAbbreviations()
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Methods in opennlp.tools.sentdetect with parameters of type Dictionary | |
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static SentenceDetectorFactory |
SentenceDetectorFactory.create(String subclassName,
String languageCode,
boolean useTokenEnd,
Dictionary abbreviationDictionary,
char[] eosCharacters)
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protected void |
SentenceDetectorFactory.init(String languageCode,
boolean useTokenEnd,
Dictionary abbreviationDictionary,
char[] eosCharacters)
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static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations)
Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)
and pass in af SentenceDetectorFactory . |
static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations,
int cutoff,
int iterations)
Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)
and pass in af SentenceDetectorFactory . |
static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations,
TrainingParameters mlParams)
Deprecated. Use SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)
and pass in af SentenceDetectorFactory . |
Constructors in opennlp.tools.sentdetect with parameters of type Dictionary | |
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SDCrossValidator(String languageCode,
int cutoff,
int iterations,
Dictionary abbreviations)
Deprecated. use #SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...)
instead and pass in a TrainingParameters object. |
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SentenceDetectorFactory(String languageCode,
boolean useTokenEnd,
Dictionary abbreviationDictionary,
char[] eosCharacters)
Creates a SentenceDetectorFactory . |
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SentenceModel(String languageCode,
opennlp.model.AbstractModel sentModel,
boolean useTokenEnd,
Dictionary abbreviations)
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SentenceModel(String languageCode,
opennlp.model.AbstractModel sentModel,
boolean useTokenEnd,
Dictionary abbreviations,
char[] eosCharacters)
Deprecated. Use SentenceModel.SentenceModel(String, AbstractModel, Map, SentenceDetectorFactory)
instead and pass in a SentenceDetectorFactory |
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SentenceModel(String languageCode,
opennlp.model.AbstractModel sentModel,
boolean useTokenEnd,
Dictionary abbreviations,
char[] eosCharacters,
Map<String,String> manifestInfoEntries)
Deprecated. Use SentenceModel.SentenceModel(String, AbstractModel, Map, SentenceDetectorFactory)
instead and pass in a SentenceDetectorFactory |
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SentenceModel(String languageCode,
opennlp.model.AbstractModel sentModel,
boolean useTokenEnd,
Dictionary abbreviations,
Map<String,String> manifestInfoEntries)
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Uses of Dictionary in opennlp.tools.tokenize |
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Methods in opennlp.tools.tokenize that return Dictionary | |
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Dictionary |
TokenizerFactory.getAbbreviationDictionary()
Gets the abbreviation dictionary |
Dictionary |
TokenizerModel.getAbbreviations()
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Methods in opennlp.tools.tokenize with parameters of type Dictionary | |
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static TokenizerFactory |
TokenizerFactory.create(String subclassName,
String languageCode,
Dictionary abbreviationDictionary,
boolean useAlphaNumericOptimization,
Pattern alphaNumericPattern)
Factory method the framework uses create a new TokenizerFactory . |
protected void |
TokenizerFactory.init(String languageCode,
Dictionary abbreviationDictionary,
boolean useAlphaNumericOptimization,
Pattern alphaNumericPattern)
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static TokenizerModel |
TokenizerME.train(String languageCode,
ObjectStream<TokenSample> samples,
Dictionary abbreviations,
boolean useAlphaNumericOptimization,
TrainingParameters mlParams)
Deprecated. Use #train(String, ObjectStream, TokenizerFactory, TrainingParameters)
and pass in a TokenizerFactory |
Constructors in opennlp.tools.tokenize with parameters of type Dictionary | |
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TokenizerCrossValidator(String language,
Dictionary abbreviations,
boolean alphaNumericOptimization,
TrainingParameters params,
TokenizerEvaluationMonitor... listeners)
Deprecated. use TokenizerCrossValidator.TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...)
instead and pass in a TokenizerFactory |
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TokenizerFactory(String languageCode,
Dictionary abbreviationDictionary,
boolean useAlphaNumericOptimization,
Pattern alphaNumericPattern)
Creates a TokenizerFactory . |
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TokenizerModel(String language,
opennlp.model.AbstractModel tokenizerMaxentModel,
Dictionary abbreviations,
boolean useAlphaNumericOptimization,
Map<String,String> manifestInfoEntries)
Deprecated. Use TokenizerModel#TokenizerModel(String, AbstractModel, Map, TokenizerFactory)
instead and pass in a TokenizerFactory . |
Uses of Dictionary in opennlp.tools.util.featuregen |
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Methods in opennlp.tools.util.featuregen with parameters of type Dictionary | |
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void |
DictionaryFeatureGenerator.setDictionary(Dictionary dict)
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void |
DictionaryFeatureGenerator.setDictionary(String name,
Dictionary dict)
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Constructors in opennlp.tools.util.featuregen with parameters of type Dictionary | |
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DictionaryFeatureGenerator(Dictionary dict)
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DictionaryFeatureGenerator(String prefix,
Dictionary dict)
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