def ckipToken(string):
result = ckip.seg(string)
return result.text()
#-*-coding:utf8-*-
from nltk.corpus import wordnet
from ckip import seg
def similar(seg_def1, seg_def2):
sum = 0
for w in seg_def1:
if w in seg_def2: sum += 1
return sum
if __name__ == '__main__':
# synsets=list(wordnet.all_synsets())
# def1=seg(synsets[0].definition)
# def2=seg(synsets[1].definition)
# print ' '.join(def1),' '.join(def2),similar(def1,def2)
moedict = [
'皮肉破損的地方。', '姓。如春秋時宋國有傷省。', '受傷、使受傷。', '耗損、毀壞。', '妨礙。', '毀謗。',
'悲痛，使憂心悲痛。'
]
moedict = [seg(moe)[:-1] for moe in moedict]
cwndict = [seg(synset.definition)[:-1] for synset in wordnet.synsets('傷')]
for moe in moedict:
print ' '.join(moe)
for cwn in cwndict:
print ' '.join(cwn),
print similar(moe, cwn)
print
from nltk.corpus import wordnet
from ckip import seg
def similar(def1, def2):
sum = 0
for w in def1[:-1]:
if w in def2: sum += 1
return sum
synsets = list(wordnet.all_synsets())
def1 = seg(synsets[0].definition())
def2 = seg(synsets[1].definition())
print ' '.join(def1), ' '.join(def2), similar(def1, def2)
#-*-coding:utf8-*-
from nltk.corpus import wordnet
from ckip import seg
def similar(seg_def1,seg_def2):
sum=0
for w in seg_def1:
if w in seg_def2:sum+=1
return sum
if __name__=='__main__':
# synsets=list(wordnet.all_synsets())
# def1=seg(synsets[0].definition)
# def2=seg(synsets[1].definition)
# print ' '.join(def1),' '.join(def2),similar(def1,def2)
moedict=['皮肉破損的地方。','姓。如春秋時宋國有傷省。','受傷、使受傷。','耗損、毀壞。','妨礙。','毀謗。','悲痛，使憂心悲痛。']
moedict=[seg(moe)[:-1] for moe in moedict]
cwndict=[seg(synset.definition)[:-1] for synset in wordnet.synsets('傷')]
for moe in moedict:
print ' '.join(moe)
for cwn in cwndict:
print ' '.join(cwn),
print similar(moe,cwn)
print
from nltk.corpus import wordnet
from ckip import seg
def similar(def1,def2):
sum=0
for w in def1[:-1]:
if w in def2:sum+=1
return sum
synsets=list(wordnet.all_synsets())
def1=seg(synsets[0].definition())
def2=seg(synsets[1].definition())
print ' '.join(def1),' '.join(def2),similar(def1,def2)
