def main():
# 识别歧意词
text = u"龚学平、张晓辉等领导说,邓颖超生前杜绝超生"
terms = segment.seg(text)
print_terms(terms)
# 识别人名
text = u"签约仪式前，秦光荣、李纪恒、仇和等一同会见了参加签约的企业家。"
terms = segment.seg(text)
print_terms(terms)
# 识别地名
text = u"蓝翔给宁夏固原市彭阳县红河镇黑牛沟村捐赠了挖掘机"
terms = segment.seg(text)
print_terms(terms)
# 识别组织名
text = u"济南杨铭宇餐饮管理有限公司是由杨先生创办的餐饮企业"
terms = segment.seg(text)
print_terms(terms)
# 简繁转换
text = u"以后等你当上皇后，就能买草莓庆祝了"
print segment.simplified_to_traditional(text)
# 繁简转换
text = u"用筆記簿型電腦寫程式HelloWorld"
print segment.traditional_to_simplified(text)
def test_organization_recognition(self):
text = traditional_to_simplified(u"馬總統上午前往陸軍航空601旅，")
Config.debug = True
self.gen_word(text)
person_recognition.recognition(self.vertexs, self.word_net_optimum, self.word_net)
place_recognition.recognition(self.vertexs, self.word_net_optimum, self.word_net)
word_net_optimum = WordNet(self.text, vertexs=self.vertexs)
vertexs = organization_recognition.recognition(self.vertexs, word_net_optimum, self.word_net)
dump_vertexs(vertexs)
self.assertIn(Vertex(u"陆军航空601旅", attribute=u"nt 1"), vertexs)
def test_organization_recognition(self):
text = traditional_to_simplified(u"馬總統上午前往陸軍航空601旅，")
Config.debug = True
self.gen_word(text)
person_recognition.recognition(self.vertexs, self.word_net_optimum,
self.word_net)
place_recognition.recognition(self.vertexs, self.word_net_optimum,
self.word_net)
word_net_optimum = WordNet(self.text, vertexs=self.vertexs)
vertexs = organization_recognition.recognition(self.vertexs,
word_net_optimum,
self.word_net)
dump_vertexs(vertexs)
self.assertIn(Vertex(u"陆军航空601旅", attribute=u"nt 1"), vertexs)
