如何获得NLTK中同义词集的词网感知频率?

问题描述

根据文档，我可以像这样在nltk中加载带有感官标记的语料库:

According to the documentation i can load a sense tagged corpus in nltk as such:

>>> from nltk.corpus import wordnet_ic
>>> brown_ic = wordnet_ic.ic('ic-brown.dat')
>>> semcor_ic = wordnet_ic.ic('ic-semcor.dat')

我也可以这样获得definition，pos，offset，examples:

I can also get the definition, pos, offset, examples as such:

>>> wn.synset('dog.n.01').examples
>>> wn.synset('dog.n.01').definition

但是如何从语料库中获得同义词集的频率呢?要解决这个问题:

1. 首先如何计数一个同义词集是否出现一个带有感官标记的语料库?
2. 然后下一步是在给定特定引理的情况下，将所有同义词集出现的次数除以计数总数.

推荐答案

我设法做到了.

from nltk.corpus import wordnet as wn

word = "dog"
synsets = wn.synsets(word)

sense2freq = {}
for s in synsets:
  freq = 0
  for lemma in s.lemmas:
    freq+=lemma.count()
  sense2freq[s.offset+"-"+s.pos] = freq

for s in sense2freq:
  print s, sense2freq[s]

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