PROSAGA码农传奇-轻量级计算-如何使用NLTK WordNet在Python中检查不完整的单词？

如何使用NLTK WordNet在Python中检查不完整的单词？

作者: 只怕再见是故人
发布时间: 2024-10-17 05:08:49 (17天前)

您可以检查是否nltk.corpus.wordnet.synsets(i)返回同义词集列表：

```
>>> from nltk.corpus import wordnet as wn
>>> x = [i.strip() for i in """corporal, dog, cat, distingus, Company, phone, authority, vhicule, seats, lightweight, rules, resident, expertise""".lower().split(",")]
>>> x
['corporal', 'dog', 'cat', 'distingus', 'company', 'phone', 'authority', 'vhicule', 'seats', 'lightweight', 'rules', 'resident', 'expertise']
>>> y = [i for i in x if len(wn.synsets(i)) > 0]
>>> y
['corporal', 'dog', 'cat', 'company', 'phone', 'authority', 'seats', 'lightweight', 'rules', 'resident', 'expertise']
```

而更不详细的方法是检查是否wn.synsets(i)有None：

```
>>> from nltk.corpus import wordnet as wn
>>> x = [i.strip() for i in """corporal, dog, cat, distingus, Company, phone, authority, vhicule, seats, lightweight, rules, resident, expertise""".lower().split(",")]
>>> x
['corporal', 'dog', 'cat', 'distingus', 'company', 'phone', 'authority', 'vhicule', 'seats', 'lightweight', 'rules', 'resident', 'expertise']
>>> [i for i in x if wn.synsets(i)]
['corporal', 'dog', 'cat', 'company', 'phone', 'authority', 'seats', 'lightweight', 'rules', 'resident', 'expertise']
```