Python自然语言处理笔记（三）wordnet层次结构

• 上位词集hypernyms()

#查看上位词
>>> computer.hypernyms()
[Synset('machine.n.01')]
#computer的词汇路径，所有的上位词
>>> paths=computer.hypernym_paths()
>>> len(paths)
1
>>> synset.name() for synset in paths[0]
SyntaxError: invalid syntax
>>> print(paths)
[[Synset('entity.n.01'), Synset('physical_entity.n.01'), Synset('object.n.01'), Synset('whole.n.02'), Synset('artifact.n.01'), Synset('instrumentality.n.03'), Synset('device.n.01'), Synset('machine.n.01'), Synset('computer.n.01')]]

• 最低共同上位词集lowesr_common_hypernyms()

right.lowest_common_hypernyms(minke) #查找right与minke的共同上位词

• 根上位词集root_hypernyms()

motorcar.root_hypernyms()
[Synset('entity.n.01')]

• 下位词集hyponyms()

#查看motorcar的下位词
motorcar = wn.synset('car.n.01')
types_of_motorcar = motorcar.hyponyms()
types_of_motorcar[26]
sorted([lemma.name() for synset in types_of_motorcar for lemma in synset.lemmas()])

参考wordnet 词汇层次结构及词汇关系总结
Python自然语言处理第二章-2.5 WordNet（II）——wordnet的层次结构