Package opennlp.tools.postag

Class POSTaggerME

java.lang.Object

opennlp.tools.postag.POSTaggerME

All Implemented Interfaces:

POSTagger

public class POSTaggerME
extends Object
implements POSTagger

A part-of-speech tagger that uses maximum entropy. Tries to predict whether words are nouns, verbs, or any of 70 other POS tags depending on their surrounding context.

Field Summary

Fields

Modifier and Type	Field	Description
static int	DEFAULT_BEAM_SIZE

Constructor Summary

Constructors

Constructor	Description
POSTaggerME(String language)	Initializes the sentence detector by downloading a default model.
POSTaggerME(POSModel model)	Initializes the current instance with the provided model.

Method Summary

Modifier and Type	Method	Description
static Dictionary	buildNGramDictionary(ObjectStream<POSSample> samples, int cutoff)
String[]	getAllPosTags()	Retrieves an array of all possible part-of-speech tags from the tagger.
String[]	getOrderedTags(List<String> words, List<String> tags, int index)
String[]	getOrderedTags(List<String> words, List<String> tags, int index, double[] tprobs)
static void	populatePOSDictionary(ObjectStream<POSSample> samples, MutableTagDictionary dict, int cutoff)
double[]	probs()	Returns an array with the probabilities for each tag of the last tagged sentence.
void	probs(double[] probs)	Populates the specified array with the probabilities for each tag of the last tagged sentence.
String[][]	tag(int numTaggings, String[] sentence)	Returns at most the specified number of taggings for the specified sentence.
String[]	tag(String[] sentence)	Assigns the sentence of tokens pos tags.
String[]	tag(String[] sentence, Object[] additionaContext)
Sequence[]	topKSequences(String[] sentence)
Sequence[]	topKSequences(String[] sentence, Object[] additionaContext)
static POSModel	train(String languageCode, ObjectStream<POSSample> samples, TrainingParameters trainParams, POSTaggerFactory posFactory)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_BEAM_SIZE

public static final int DEFAULT_BEAM_SIZE

See Also:

Constant Field Values

Constructor Detail

POSTaggerME

public POSTaggerME(String language)
            throws IOException

Initializes the sentence detector by downloading a default model.

Parameters:

language - The language of the POS tagger

Throws:

IOException - Thrown if the model cannot be downloaded or saved.

POSTaggerME

public POSTaggerME(POSModel model)

Initializes the current instance with the provided model.

Parameters:

model -

Method Detail

getAllPosTags

public String[] getAllPosTags()

Retrieves an array of all possible part-of-speech tags from the tagger.

Returns:

String[]

tag

public String[] tag(String[] sentence)

Description copied from interface: POSTagger

Assigns the sentence of tokens pos tags.

Specified by:

tag in interface POSTagger

Parameters:

sentence - The sentece of tokens to be tagged.

Returns:

an array of pos tags for each token provided in sentence.

tag

public String[] tag(String[] sentence,
                    Object[] additionaContext)

Specified by:

tag in interface POSTagger

tag

public String[][] tag(int numTaggings,
                      String[] sentence)

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

Parameters:

numTaggings - The number of tagging to be returned.

sentence - An array of tokens which make up a sentence.

Returns:

At most the specified number of taggings for the specified sentence.

topKSequences

public Sequence[] topKSequences(String[] sentence)

Specified by:

topKSequences in interface POSTagger

topKSequences

public Sequence[] topKSequences(String[] sentence,
                                Object[] additionaContext)

Specified by:

topKSequences in interface POSTagger

probs

public void probs(double[] probs)

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

Parameters:

probs - An array to put the probabilities into.

probs

public double[] probs()

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

Returns:

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

getOrderedTags

public String[] getOrderedTags(List<String> words,
                               List<String> tags,
                               int index)

getOrderedTags

public String[] getOrderedTags(List<String> words,
                               List<String> tags,
                               int index,
                               double[] tprobs)

train

public static POSModel train(String languageCode,
                             ObjectStream<POSSample> samples,
                             TrainingParameters trainParams,
                             POSTaggerFactory posFactory)
                      throws IOException

Throws:

IOException

buildNGramDictionary

public static Dictionary buildNGramDictionary(ObjectStream<POSSample> samples,
                                              int cutoff)
                                       throws IOException

Throws:

IOException

populatePOSDictionary

public static void populatePOSDictionary(ObjectStream<POSSample> samples,
                                         MutableTagDictionary dict,
                                         int cutoff)
                                  throws IOException

Throws:

IOException