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java.lang.Objectopennlp.tools.parser.AbstractBottomUpParser
opennlp.tools.parser.chunking.Parser
public class Parser
Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
Field Summary |
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Fields inherited from class opennlp.tools.parser.AbstractBottomUpParser |
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COMPLETE, CONT, defaultAdvancePercentage, defaultBeamSize, INC_NODE, INCOMPLETE, OTHER, START, TOK_NODE, TOP_NODE, ZERO |
Constructor Summary | |
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Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules)
Deprecated. |
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Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules,
int beamSize,
double advancePercentage)
Deprecated. |
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Parser(ParserModel model)
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Parser(ParserModel model,
int beamSize,
double advancePercentage)
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Method Summary | |
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static void |
mergeReportIntoManifest(Map<String,String> manifest,
Map<String,String> report,
String namespace)
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static opennlp.model.AbstractModel |
train(opennlp.model.EventStream es,
int iterations,
int cut)
Deprecated. Please do not use anymore, use the ObjectStream train methods instead! This method will be removed soon. |
static ParserModel |
train(String languageCode,
ObjectStream<Parse> parseSamples,
HeadRules rules,
int iterations,
int cut)
Deprecated. use train(String, ObjectStream, HeadRules, TrainingParameters)
instead and pass in a TrainingParameters object. |
static ParserModel |
train(String languageCode,
ObjectStream<Parse> parseSamples,
HeadRules rules,
TrainingParameters mlParams)
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Methods inherited from class opennlp.tools.parser.AbstractBottomUpParser |
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buildDictionary, buildDictionary, collapsePunctuation, parse, parse, setErrorReporting, setParents |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public Parser(ParserModel model, int beamSize, double advancePercentage)
public Parser(ParserModel model)
@Deprecated public Parser(opennlp.model.MaxentModel buildModel, opennlp.model.MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules)
buildModel
- The model to assign constituent labels.checkModel
- The model to determine a constituent is complete.tagger
- The model to assign pos-tags.chunker
- The model to assign flat constituent labels.headRules
- The head rules for head word perculation.@Deprecated public Parser(opennlp.model.MaxentModel buildModel, opennlp.model.MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules, int beamSize, double advancePercentage)
buildModel
- The model to assign constituent labels.checkModel
- The model to determine a constituent is complete.tagger
- The model to assign pos-tags.chunker
- The model to assign flat constituent labels.headRules
- The head rules for head word perculation.beamSize
- The number of different parses kept during parsing.advancePercentage
- The minimal amount of probability mass which advanced outcomes must represent.
Only outcomes which contribute to the top "advancePercentage" will be explored.Method Detail |
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@Deprecated public static opennlp.model.AbstractModel train(opennlp.model.EventStream es, int iterations, int cut) throws IOException
IOException
public static void mergeReportIntoManifest(Map<String,String> manifest, Map<String,String> report, String namespace)
public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams) throws IOException
IOException
@Deprecated public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cut) throws IOException
train(String, ObjectStream, HeadRules, TrainingParameters)
instead and pass in a TrainingParameters object.
IOException
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