def train(train_data_filename, rare_train_data_filename, hmm_model_filename,
          rare_words_rule):
    print '1. Modo entrenamiento hmm'
    hmm_model = ViterbiTagger(3)
    hmm_model.rare_words_rule = rare_words_rule
    hmm_model.train(file(train_data_filename))

    print '2. Procesando palabras raras'
    util.process_rare_words(file(train_data_filename),
                            file(rare_train_data_filename, 'w'),
                            hmm_model.rare_words, hmm_model.rare_words_rule)

    print '3. Entrenando hmm usando la nueva data de entrenamiento'
    hmm_model_rare = ViterbiTagger(3)
    hmm_model_rare.train(file(rare_train_data_filename))
    hmm_model_rare.write_counts(file(hmm_model_filename, 'w'))
Exemple #2
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def train(train_data_filename, rare_train_data_filename, hmm_model_filename):
    print '1. Entrenamiento hmm model'
    hmm_model = SimpleTagger(3)
    hmm_model.train(file(train_data_filename, 'r'))

    print . Reemplazar rare words 
    rare_words = hmm_model.rare_words
    util.process_rare_words(
        file(train_data_filename),
        file(rare_train_data_filename, 'w'),
        rare_words,
        util.rare_words_rule_p1)

    print '3. Entrenamiento modelo hmm de nuevo utilizando la nueva data (con RARE_TAG)'
    hmm_model_rare = SimpleTagger(3)
    hmm_model_rare.train(file(rare_train_data_filename))
    hmm_model_rare.write_counts(file(hmm_model_filename, 'w'))
Exemple #3
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def train(train_data_filename, rare_train_data_filename, hmm_model_filename, rare_words_rule):
    print '1. train hmm model'
    hmm_model = ViterbiTagger(3)
    hmm_model.rare_words_rule = rare_words_rule
    hmm_model.train(file(train_data_filename))

    print '2. process rare words'
    util.process_rare_words(
        file(train_data_filename),
        file(rare_train_data_filename, 'w'),
        hmm_model.rare_words,
        hmm_model.rare_words_rule)

    print '3. train hmm model again using the new train data'
    hmm_model_rare = ViterbiTagger(3)
    hmm_model_rare.train(file(rare_train_data_filename))
    hmm_model_rare.write_counts(file(hmm_model_filename, 'w'))
Exemple #4
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def train(train_data_filename, rare_train_data_filename, hmm_model_filename):
    print '1. train hmm model'
    hmm_model = SimpleTagger(3)
    hmm_model.train(file(train_data_filename, 'r'))

    print '2. replace rare words'
    rare_words = hmm_model.rare_words
    util.process_rare_words(
        file(train_data_filename),
        file(rare_train_data_filename, 'w'),
        rare_words,
        util.rare_words_rule_p1)

    print '3. train hmm model again using the new train data (with RARE_TAG)'
    hmm_model_rare = SimpleTagger(3)
    hmm_model_rare.train(file(rare_train_data_filename))
    hmm_model_rare.write_counts(file(hmm_model_filename, 'w'))