python - How to lemmatize a list of sentences

Question

How can I lemmatize a list of sentences in Python?

from nltk.stem.wordnet import WordNetLemmatizer
a = ['i like cars', 'cats are the best']
lmtzr = WordNetLemmatizer()
lemmatized = [lmtzr.lemmatize(word) for word in a]
print(lemmatized)

This is what I've tried but it gives me the same sentences. Do I need to tokenize the words before to work properly?

Answer 1

TL;DR:

pip3 install -U pywsd

Then:

>>> from pywsd.utils import lemmatize_sentence

>>> text = 'i like cars'
>>> lemmatize_sentence(text)
['i', 'like', 'car']
>>> lemmatize_sentence(text, keepWordPOS=True)
(['i', 'like', 'cars'], ['i', 'like', 'car'], ['n', 'v', 'n'])

>>> text = 'The cat likes cars'
>>> lemmatize_sentence(text, keepWordPOS=True)
(['The', 'cat', 'likes', 'cars'], ['the', 'cat', 'like', 'car'], [None, 'n', 'v', 'n'])

>>> text = 'The lazy brown fox jumps, and the cat likes cars.'
>>> lemmatize_sentence(text)
['the', 'lazy', 'brown', 'fox', 'jump', ',', 'and', 'the', 'cat', 'like', 'car', '.']

---

Otherwise, take a look at how the function in pywsd:

• Tokenize the string
• Uses the POS tagger and maps to WordNet POS tagset
• Attempts to stem
• Finally calling the lemmatizer with the POS and/or stems

See https://github.com/alvations/pywsd/blob/master/pywsd/utils.py#L129