def get_bleu_score(out_file, gold_file):
weights = [0.25, 0.25, 0.25, 0.25]
sum_bleu = 0
sent_num = 0
with open(out_file) as o_stream, open(gold_file) as g_stream:
for o_sent, g_sent in zip(o_stream, g_stream):
sum_bleu += bleu(o_sent, [g_sent], weights)
sent_num += 1
return sum_bleu / sent_num
def get_bleu_score(out_file, gold_file):
weights = [0.25, 0.25, 0.25, 0.25]
sum_bleu = 0
sent_num = 0
with open(out_file) as o_stream, open(gold_file) as g_stream:
for o_sent, g_sent in zip(o_stream, g_stream):
sum_bleu += bleu(o_sent, [g_sent], weights)
sent_num += 1
return sum_bleu / sent_num
from nltk.align import bleu
from nltk import word_tokenize
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-c", "--candidate")
parser.add_argument("-r", "--reference")
args = parser.parse_args()
#candidate = 'He is very skilled'
#reference = 'He is very talented'
assert len(args.candidate) > 1
assert len(args.reference) > 1
print bleu(word_tokenize(args.candidate), [word_tokenize(args.reference)], [1])
