tokens = sent.split()
for i in range(len(tokens)):
index -= len(tokens[i]) + 1
if index < 0:
for c in range(i, i + len(arg.split())):
arg_list.append(c)
break
info_list.append(arg_list)
return info_list
input = codecs.open('200DadeganSents.txt', 'r', encoding='utf8')
dadegan = DadeganReader('Resources/Dadegan/train.conll')
dadegan_trees = dadegan.trees()
informations = []
sentences = []
for sentence in dadegan.sents():
sentences.append(' '.join([w for w, t in sentence]))
for tree, chunks, sent in zip(dadegan_trees, dadegan.chunked_trees(), sentences):
info_list = ([], [], [])
for information in dependencyExtractor.extract(tree):
temp_list = positions(information, sent)
for i in range(3):
if len(temp_list[i]) > 0 and temp_list[i] not in info_list[i]:
info_list[i].append(temp_list[i])
if [] in info_list:
continue
else:
tag_sent(chunks, info_list)
"""
for line in input.readlines():
