def get_word_frequency():
word_freq = {}
sentences = read_data()
for sen in sentences:
for morph in sen:
word = morph['base']
if is_noun(morph) and word != '*' and word != 'ー' and word != '一':
if word_freq.has_key(word):
word_freq[word] += 1
else:
word_freq[word] = 1
return word_freq
#!/usr/bin/python
# -*- coding: utf-8 -*-
# 34. 「AのB」
# Trích xuất tất cả các danh từ ghép (compound nouns) kết nối bằng の.
from read_data_ex30 import read_data
if __name__ == '__main__':
sentences = read_data()
for sen in sentences:
for i in xrange(len(sen)):
morph = sen[i]
if morph['surface'] == 'の' and morph['pos'] == '助詞':
if i > 0 and i < len(sen) - 1:
prev_mp = sen[i - 1]
next_mp = sen[i + 1]
if prev_mp['pos'] == '名詞' and prev_mp[
'pos1'] != '非自立' and next_mp[
'pos'] == '名詞' and next_mp['pos1'] != '非自立':
word = ''.join(
(prev_mp['surface'], 'の', next_mp['surface']))
print word
def extract_nouns():
sentences = read_data()
for sen in sentences:
print_all_compound_nouns(sen)