List of toDictionary() Examples

Examples of toDictionary()

opennlp.tools.ngram.NGramModel.toDictionary()
Creates a dictionary which contain all {@link StringList} whichare in the current {@link NGramModel}. Entries which are only different in the case are merged into one. Calling this method is the same as calling {@link #toDictionary(boolean)} with true. @return a dictionary of the ngrams

Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ci++;
      }
    }
    //System.err.println("gas,and="+mdict.getCount((new TokenList(new String[] {"gas","and"}))));
    mdict.cutoff(cutoff, Integer.MAX_VALUE);
    return mdict.toDictionary(true);
  }
  
  /**
   * Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
   *

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ngramModel.add(new StringList(words), 1, 1);
    }
    
    ngramModel.cutoff(cutoff, Integer.MAX_VALUE);
    
    return ngramModel.toDictionary(true);
  }
}

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

    }


    System.out.println("Saving the dictionary");


    ngramModel.cutoff(cutoff, Integer.MAX_VALUE);
    Dictionary dictionary = ngramModel.toDictionary(true);


    dictionary.serialize(new FileOutputStream(dict));
  }


}

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ci++;
      }
    }
    //System.err.println("gas,and="+mdict.getCount((new TokenList(new String[] {"gas","and"}))));
    mdict.cutoff(cutoff, Integer.MAX_VALUE);
    return mdict.toDictionary(true);
  }
  
  /**
   * Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
   *

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ngramModel.add(new StringList(words), 1, 1);
    }
    
    ngramModel.cutoff(cutoff, Integer.MAX_VALUE);
    
    return ngramModel.toDictionary(true);
  }


  public static void populatePOSDictionary(ObjectStream<POSSample> samples,
      MutableTagDictionary dict, int cutoff) throws IOException {
    System.out.println("Expanding POS Dictionary ...");

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

    }


    System.out.println("Saving the dictionary");


    ngramModel.cutoff(cutoff, Integer.MAX_VALUE);
    Dictionary dictionary = ngramModel.toDictionary(true);


    dictionary.serialize(new FileOutputStream(dict));
  }


}

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ci++;
      }
    }
    //System.err.println("gas,and="+mdict.getCount((new TokenList(new String[] {"gas","and"}))));
    mdict.cutoff(cutoff, Integer.MAX_VALUE);
    return mdict.toDictionary(true);
  }


  /**
   * Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
   *

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ngramModel.add(new StringList(words), 1, 1);
    }


    ngramModel.cutoff(cutoff, Integer.MAX_VALUE);


    return ngramModel.toDictionary(true);
  }


  public static void populatePOSDictionary(ObjectStream<POSSample> samples,
      MutableTagDictionary dict, int cutoff) throws IOException {
    System.out.println("Expanding POS Dictionary ...");

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Examples of opennlp.tools.ngram.NGramModel.toDictionary()

        ci++;
      }
    }
    //System.err.println("gas,and="+mdict.getCount((new TokenList(new String[] {"gas","and"}))));
    mdict.cutoff(cutoff, Integer.MAX_VALUE);
    return mdict.toDictionary(true);
  }
}

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