How to get the infinitive form of the verb using NLTK (pos tagging)

Question

I'm trying to learn natural language processing (of English) using NLTK and Python. Is there a way to get the infinitive form of the verb during or after POS-tagging.

For example:

• is (VBZ) => to be
• provided (VBN) => to provide
• using (VBG) => to use

Recurvate

ot a full answer, but I would investigate WordNet (yes, NLTK had WordNet as a download) – Marrero

Answer 1

Close, you'll need to add the 'to' at the beginning:

>>> from nltk.stem.wordnet import WordNetLemmatizer
>>> lemmatizer = WordNetLemmatizer()
>>> lemmatizer.lemmatize('is', 'v')
'be'
>>> lemmatizer.lemmatize('provided', 'v')
'provide'
>>> lemmatizer.lemmatize('using', 'v')
'use'

Noni

Do you have some suggestion for other langage like French? – Trochal

@Trochal use SnowballStemmer("french") – Henke