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| Packages that use Dictionary | |
|---|---|
| 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 |
|---|
| Methods in opennlp.tools.cmdline.namefind that return Dictionary | |
|---|---|
static Dictionary |
CensusDictionaryCreatorTool.createDictionary(ObjectStream<StringList> sampleStream)
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| Uses of Dictionary in opennlp.tools.coref |
|---|
| Methods in opennlp.tools.coref that return Dictionary | |
|---|---|
Dictionary |
CorefModel.getFemaleNames()
|
Dictionary |
CorefModel.getMaleNames()
|
| Uses of Dictionary in opennlp.tools.dictionary |
|---|
| Methods in opennlp.tools.dictionary that return Dictionary | |
|---|---|
static Dictionary |
Dictionary.parseOneEntryPerLine(Reader in)
Reads a dictionary which has one entry per line. |
| Uses of Dictionary in opennlp.tools.namefind |
|---|
| Constructors in opennlp.tools.namefind with parameters of type Dictionary | |
|---|---|
DictionaryNameFinder(Dictionary dictionary)
Initializes the current instance. |
|
| Uses of Dictionary in opennlp.tools.ngram |
|---|
| Methods in opennlp.tools.ngram that return Dictionary | |
|---|---|
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 StringLists which
are in the current NGramModel. |
| Uses of Dictionary in opennlp.tools.parser |
|---|
| Fields in opennlp.tools.parser declared as Dictionary | |
|---|---|
protected Dictionary |
AbstractParserEventStream.dict
|
| Methods in opennlp.tools.parser that return Dictionary | |
|---|---|
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 | |
|---|---|
AbstractParserEventStream(ObjectStream<Parse> d,
HeadRules rules,
ParserEventTypeEnum etype,
Dictionary dict)
|
|
| Uses of Dictionary in opennlp.tools.parser.chunking |
|---|
| Constructors in opennlp.tools.parser.chunking with parameters of type Dictionary | |
|---|---|
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 |
|---|
| Constructors in opennlp.tools.parser.treeinsert with parameters of type Dictionary | |
|---|---|
ParserEventStream(ObjectStream<Parse> d,
HeadRules rules,
ParserEventTypeEnum etype,
Dictionary dict)
|
|
| Uses of Dictionary in opennlp.tools.postag |
|---|
| Fields in opennlp.tools.postag declared as Dictionary | |
|---|---|
protected Dictionary |
POSTaggerME.ngramDictionary
|
| Methods in opennlp.tools.postag that return Dictionary | |
|---|---|
static Dictionary |
POSTaggerME.buildNGramDictionary(ObjectStream<POSSample> samples,
int cutoff)
|
Dictionary |
POSModel.getNgramDictionary()
Retrieves the ngram dictionary. |
| Methods in opennlp.tools.postag with parameters of type Dictionary | |
|---|---|
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, POSDictionary, Dictionary)
instead and pass in a TrainingParameters object. |
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)
|
| Constructors in opennlp.tools.postag with parameters of type Dictionary | |
|---|---|
DefaultPOSContextGenerator(Dictionary dict)
Initializes the current instance. |
|
DefaultPOSContextGenerator(int cacheSize,
Dictionary dict)
Initializes the current instance. |
|
POSModel(String languageCode,
opennlp.model.AbstractModel posModel,
POSDictionary tagDictionary,
Dictionary ngramDict)
|
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POSModel(String languageCode,
opennlp.model.AbstractModel posModel,
POSDictionary tagDictionary,
Dictionary ngramDict,
Map<String,String> manifestInfoEntries)
|
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POSTaggerCrossValidator(String languageCode,
ModelType modelType,
POSDictionary tagDictionary,
Dictionary ngramDictionary)
|
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POSTaggerCrossValidator(String languageCode,
ModelType modelType,
POSDictionary tagDictionary,
Dictionary ngramDictionary,
int cutoff,
int iterations)
Deprecated. use POSTaggerCrossValidator.POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, Dictionary, POSTaggerEvaluationMonitor...)
instead and pass in a TrainingParameters object. |
|
POSTaggerCrossValidator(String languageCode,
TrainingParameters trainParam,
POSDictionary tagDictionary,
Dictionary ngramDictionary,
POSTaggerEvaluationMonitor... listeners)
|
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POSTaggerME(opennlp.model.AbstractModel model,
Dictionary dict)
Deprecated. |
|
POSTaggerME(opennlp.model.AbstractModel model,
Dictionary dict,
TagDictionary tagdict)
Deprecated. |
|
| Uses of Dictionary in opennlp.tools.sentdetect |
|---|
| Methods in opennlp.tools.sentdetect that return Dictionary | |
|---|---|
Dictionary |
SentenceModel.getAbbreviations()
|
| Methods in opennlp.tools.sentdetect with parameters of type Dictionary | |
|---|---|
static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations)
|
static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations,
int cutoff,
int iterations)
Deprecated. use SentenceDetectorME.train(String, ObjectStream, boolean, Dictionary, TrainingParameters)
instead and pass in a TrainingParameters object. |
static SentenceModel |
SentenceDetectorME.train(String languageCode,
ObjectStream<SentenceSample> samples,
boolean useTokenEnd,
Dictionary abbreviations,
TrainingParameters mlParams)
|
| Constructors in opennlp.tools.sentdetect with parameters of type Dictionary | |
|---|---|
SDCrossValidator(String languageCode,
int cutoff,
int iterations,
Dictionary abbreviations)
Deprecated. use SDCrossValidator.SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...)
instead and pass in a TrainingParameters object. |
|
SDCrossValidator(String languageCode,
TrainingParameters params,
Dictionary abbreviations,
SentenceDetectorEvaluationMonitor... listeners)
|
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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,
Map<String,String> manifestInfoEntries)
|
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| Uses of Dictionary in opennlp.tools.tokenize |
|---|
| Methods in opennlp.tools.tokenize that return Dictionary | |
|---|---|
Dictionary |
TokenizerModel.getAbbreviations()
|
| Methods in opennlp.tools.tokenize with parameters of type Dictionary | |
|---|---|
static TokenizerModel |
TokenizerME.train(String languageCode,
ObjectStream<TokenSample> samples,
Dictionary abbreviations,
boolean useAlphaNumericOptimization,
TrainingParameters mlParams)
Trains a model for the TokenizerME. |
| Constructors in opennlp.tools.tokenize with parameters of type Dictionary | |
|---|---|
TokenizerCrossValidator(String language,
Dictionary abbreviations,
boolean alphaNumericOptimization,
TrainingParameters params,
TokenizerEvaluationMonitor... listeners)
|
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TokenizerModel(String language,
opennlp.model.AbstractModel tokenizerMaxentModel,
Dictionary abbreviations,
boolean useAlphaNumericOptimization,
Map<String,String> manifestInfoEntries)
Initializes the current instance. |
|
| Uses of Dictionary in opennlp.tools.util.featuregen |
|---|
| Methods in opennlp.tools.util.featuregen with parameters of type Dictionary | |
|---|---|
void |
DictionaryFeatureGenerator.setDictionary(Dictionary dict)
|
void |
DictionaryFeatureGenerator.setDictionary(String name,
Dictionary dict)
|
| Constructors in opennlp.tools.util.featuregen with parameters of type Dictionary | |
|---|---|
DictionaryFeatureGenerator(Dictionary dict)
|
|
DictionaryFeatureGenerator(String prefix,
Dictionary dict)
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