Introducing spacy frenchlemmatizer

If you're working with French language data and need to extract lemma or base form of words, then spacy frenchlemmatizer can be a very useful tool. spacy frenchlemmatizer is a lemmatizer implemented in the popular spaCy library for natural language processing.

Installation

To install spacy frenchlemmatizer, you can use pip:

pip install spacy-french-lemmatizer

You also need to install spaCy:

pip install spacy

Usage

Using spacy frenchlemmatizer is straightforward. You need to load a French language model and add the frenchlemmatizer component to it:

import spacy
from spacy_french_lemmatizer import FrenchLemmatizer

nlp = spacy.load('fr_core_news_sm')
french_lemmatizer = FrenchLemmatizer()
nlp.add_pipe(french_lemmatizer, name='french_lemmatizer', after='parser')

Now you can use the lemmatizer to extract the lemma for any French language text:

doc = nlp("Les chats mangent des souris.")
for token in doc:
    print(token.text, token.lemma_)

Output:

Les le
chats chat
mangent manger
des un
souris souris
. .

License

spacy frenchlemmatizer is released under the MIT License.

Conclusion

If you're working with French language data, spacy frenchlemmatizer can save you a lot of time by automatically extracting the lemma or base form for each word. It's easy to install and use, and integrates seamlessly with the spaCy library.