如何从Wordnet获取按其出现概率排序的同义词

pip install nltk

import nltk
nltk.download('wordnet')

from nltk.corpus import wordnet

# 获取单词的所有同义词集
synsets = wordnet.synsets('good')

# 输出同义词集
for synset in synsets:
    print(synset.lemmas())

from nltk.probability import FreqDist

# 统计同义词出现频率
freq_dist = FreqDist([lemma.name() for synset in synsets for lemma in synset.lemmas()])

# 按频率排序
sorted_synsets = sorted(synsets, key=lambda x: freq_dist[x.lemmas()[0].name()], reverse=True)

# 输出排序后的同义词集
for synset in sorted_synsets:
    print(synset.lemmas())