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'))
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'))
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'))
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'))