我正在尝试使用python在WordNet (which is Lexical database for English)
中查找Synsets
。
下面是我试图查找的同义词集和同义词集示例(作为参数传递):
from nltk.corpus import wordnet
synonynm=wordnet.synsets('friend')[2]#? wt does[0] mean
synonynm.name() #related synonyms wrds
synonynm.definition() #definition of passed words
wordnet.synsets('friend')[0].examples()
当我使用索引wordnet.synsets('friend')[0]
、wordnet.synsets('friend')[1]
或wordnet.synsets('friend')[2]
时
它给出了可以在此处查看的相同输出
['he was my best friend at the university']
但是,如果确实将大括号放空,则会显示错误[]
所以我只想知道这两者的区别是什么
synonynm=wordnet.synsets('friend')[0]
还有这个
wordnet.synsets('friend')[1]
如果能得到您的指导我将不胜感激
发布于 2019-04-25 03:37:03
wordnet.synsets('friend')
返回一个同义词集列表:
[Synset('friend.n.01'), Synset('ally.n.02'), Synset('acquaintance.n.03'), Synset('supporter.n.01'), Synset('friend.n.05')]
然后你可以通过索引访问列表中的每个同义词集,例如。列表中的第一个同义词集是:
wordnet.synsets('friend')[0] # Synset('friend.n.01')
wordnet.synsets('friend')[0].name() # friend.n.01
wordnet.synsets('friend')[0].definition() # a person you know well and regard with affection and trust
wordnet.synsets('friend')[0].examples() # ['he was my best friend at the university']
下面是打印列表中每个同义词集的名称、定义和示例的代码片段:
from nltk.corpus import wordnet
for result in wordnet.synsets('friend'):
print(result.name(), result.definition(), result.examples())
输出:
friend.n.01 a person you know well and regard with affection and trust ['he was my best friend at the university']
ally.n.02 an associate who provides cooperation or assistance ["he's a good ally in fight"]
acquaintance.n.03 a person with whom you are acquainted ['I have trouble remembering the names of all my acquaintances', 'we are friends of the family']
supporter.n.01 a person who backs a politician or a team etc. ['all their supporters came out for the game', 'they are friends of the library']
friend.n.05 a member of the Religious Society of Friends founded by George Fox (the Friends have never called themselves Quakers) []
请注意,在您的代码中,如果希望在同义词集列表中包含索引2的示例,则应执行以下操作:
from nltk.corpus import wordnet
synonynm=wordnet.synsets('friend')[2]
synonynm.name() #related synonyms words
synonynm.definition() #definition of passed words
synonynm.examples()
https://stackoverflow.com/questions/55837113
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