print total_num, error_num
return float(total_num - error_num) / (total_num)
if __name__ == '__main__':
brill_tagger = None
mle_tagger = None
try:
fin = open('mletagger.model', 'rb')
mle_tagger = load(fin)
print "MLE tagger loaded"
fin.close()
# model doesn't exist
except IOError:
print "MLE model not found! Retraining..."
print "Loading training corpus..."
train_corpus = CorpusReader.readin('train.pos')
print "Corpus loaded"
print "Learning MLE tagger..."
model = MLETagLearner.learn(train_corpus)
mle_tagger = MLETagger(model)
print "MLE tagger learned"
fout = open('mletagger.model', 'wb')
dump(mle_tagger, fout, -1)
fout.close()
try:
fin = open('brilltagger.model', 'rb')
brill_tagger = load(fin)
print "Brill tagger loaded!"
fin.close()
