python - 使用 WordNet 和 NLTK 替换语料库中的同义词 - python

Question

尝试编写简单的 python 脚本，该脚本将使用 NLTK 查找并替换 txt 文件中的同义词。

以下代码给我错误:

Traceback (most recent call last):
  File "C:\Users\Nedim\Documents\sinon2.py", line 21, in <module>
    change(word)
  File "C:\Users\Nedim\Documents\sinon2.py", line 4, in change
    synonym = wn.synset(word + ".n.01").lemma_names
TypeError: can only concatenate list (not "str") to list

这里是代码:

from nltk.corpus import wordnet as wn

def change(word):
    synonym = wn.synset(word + ".n.01").lemma_names

    if word in synonym:

            filename = open("C:/Users/tester/Desktop/test.txt").read()
            writeSynonym = filename.replace(str(word), str(synonym[0]))
            f = open("C:/Users/tester/Desktop/test.txt", 'w')
            f.write(writeSynonym)
            f.close()

f = open("C:/Users/tester/Desktop/test.txt")
lines = f.readlines()

for i in range(len(lines)):

    word = lines[i].split()
    change(word)

Answer 1

这不是非常有效，并且不会取代单个同义词。因为每个单词可能有多个同义词。您可以选择，

from nltk.corpus import wordnet as wn
from nltk.corpus.reader.plaintext import PlaintextCorpusReader


corpus_root = 'C://Users//tester//Desktop//'
wordlists = PlaintextCorpusReader(corpus_root, '.*')


for word in wordlists.words('test.txt'):
    synonymList = set()
    wordNetSynset =  wn.synsets(word)
    for synSet in wordNetSynset:
        for synWords in synSet.lemma_names:
            synonymList.add(synWords)
    print synonymList