来自nltk.corpus的Python wordnet。如何使用wordnet获取几个句子中每个单词的定义？

Question

我开始学习wordnet，但是示例中的所有内容都与一个特定的单词相关。如何使用wordnet获得几个句子中每个单词的定义？

我试图做这样的事情：

from nltk.corpus import wordnet
from nltk.tokenize import word_tokenize

words = []
synt = "My friends have come too late."
words = word_tokenize(synt)

for w in words:
word = wordnet.synsets('{w}')[0]
print("Synset name : ", word.name())
# Defining the word
print("\nSynset meaning : ", word.definition())
# list of phrases that use the word in context
print("\nSynset example : ", word.examples())

但是：

Traceback (most recent call last):
  File "C:/projects/WordNet/test.py", line 10, in <module>
    word = wordnet.synsets('{w}')[0]
IndexError: list index out of range

Process finished with exit code 1

Answer 1

我收到一个list index out of range错误，因为wordnet.synsets('{w}')方法返回的长度为零。如果不检查此内容，我将尝试访问不存在的元素[0]。您需要先添加结果检查，然后再尝试将其输出。

答案：

from nltk.corpus import wordnet

synt = "My friends have come too late."
words = synt.split(' ')

for word in words:
result = wordnet.synsets(word)
    if not result:
        print('No found: ', word)
        continue

    for item in result:
        print("Synset name: ", item.name())
        print("Synset meaning: ", item.definition())
        print("Synset example: ", item.examples())