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 Details

  • Constructor Details

    • POSTaggerME

      public POSTaggerME(POSModel model)
      Initializes the current instance with the provided model.
      Parameters:
      model -

  • Method Details

    • 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