pip3 install spacy python3 -m spacy download fr_core_news_md import spacy nlp = spacy.load('fr_core_news_md') doc = nlp(u"voudrais non animaux yeux dors couvre.") for token in doc: print(token, token.lemma_)
>>> from nltk.stem.snowball import FrenchStemmer >>> stemmer = FrenchStemmer() >>> stemmer.stem('voudrais') u'voudr' >>> stemmer.stem('animaux') u'animal' >>> stemmer.stem('yeux') u'yeux' >>> stemmer.stem('dors') u'dor' >>> stemmer.stem('couvre') u'couvr'