def main():
TRAIN = True
# 1. training
hmm_model_filename = 'p3.model'
train_data_filename = 'gene.train'
rare_train_data_filename = 'p3.gene.train'
if TRAIN:
p2.train(train_data_filename, rare_train_data_filename, hmm_model_filename, util.rare_words_rule_p3)
# 2. tagging
test_data_filename = 'gene.dev'
result_filename = 'gene_dev.p3.output'
p2.tag(test_data_filename, result_filename, hmm_model_filename)
def main():
TRAIN = True
# 1. training
hmm_model_filename = 'p3.model'
train_data_filename = 'gene.train'
rare_train_data_filename = 'p3.gene.train'
if TRAIN:
p2.train(train_data_filename, rare_train_data_filename,
hmm_model_filename, util.rare_words_rule_p3)
# 2. tagging
test_data_filename = 'gene.dev'
result_filename = 'gene_dev.p3.output'
p2.tag(test_data_filename, result_filename, hmm_model_filename)
def main():
TRAIN = True
train_data_filename = 'parse_train_vert.dat'
train_rare_filename = 'p3.train.rare.dat'
pcfg_model_filename = 'p3.model'
test_data_filename = 'parse_dev.dat'
result_filename = 'p3.result'
if TRAIN:
tagger = train(train_data_filename, train_rare_filename, pcfg_model_filename, rare_words_rule_p1)
tagger.write(open(pcfg_model_filename, 'w'))
tag(test_data_filename, result_filename, pcfg_model_filename)
def main():
TRAIN = True
train_data_filename = 'parse_train_vert.dat'
train_rare_filename = 'p3.train.rare.dat'
pcfg_model_filename = 'p3.model'
test_data_filename = 'parse_dev.dat'
result_filename = 'p3.result'
if TRAIN:
tagger = train(train_data_filename, train_rare_filename,
pcfg_model_filename, rare_words_rule_p1)
tagger.write(open(pcfg_model_filename, 'w'))
tag(test_data_filename, result_filename, pcfg_model_filename)
