def line_common_words():
lines = nlp30.neko_lines()
words = []
for line in lines:
for morpheme in line:
words.append(morpheme['surface'])
word_count = collections.Counter(words)
common_words = word_count.most_common()
return common_words
# 35. 名詞の連接
# 名詞の連接（連続して出現する名詞）を最長一致で抽出せよ
import nlp30
lines = nlp30.neko_lines()
list_series_noun = []
for line in lines:
nouns = []
for morpheme in line:
if morpheme['pos'] == '名詞':
nouns.append(morpheme['surface'])
else:
if len(nouns) > 1:
list_series_noun.append("".join(nouns))
nouns = []
if len(nouns) > 1:
list_series_noun.append("".join(nouns))
series_noun = set(list_series_noun)
print(sorted(series_noun, key=list_series_noun.index))