French models for spaCy
This repository contains releases of models for the spaCy NLP library. For more info on how to download, install and use the models, see the models documentation.
Releases
| Date | Model | Version | Size | Description | Licence | |
|---|---|---|---|---|---|---|
2017-04-04 |
fr_model |
0.0.1 | 134 MB | POS Tagging, Dependency Parsing | CC BY-NC-SA 3.0 |  |
Installation
pip install https://github.com/pagesjaunes/spacy-french-models/releases/download/v0.0.1-alpha/fr_model-0.0.1.tar.gz
# set up shortcut link to load installed package as "fr_default"
python -m spacy link fr_model fr_default --forceLoading and using models
To load a model, use spacy.load() with the model's shortcut link:
import spacy
nlp = spacy.load('fr_default')
doc = nlp("Je voudrais réserver un hôtel à Rennes.")
for w in doc:
print("%s\t%s\t%s" % (w, w.tag_, w.dep_))Je PRON nsubj
voudrais AUX ROOT
réserver VERB ROOT
un DET det
hôtel NOUN obj
à ADP case
Rennes PROPN nmod
. PUNCT punct
Evaluation
POS Tagging
precision recall f1-score support
ADJ 0.88 0.92 0.90 384
ADP 0.99 0.99 0.99 1025
ADV 0.95 0.80 0.87 400
AUX 0.94 0.56 0.70 275
CCONJ 0.00 0.00 0.00 174
CONJ 0.00 0.00 0.00 0
DET 0.99 0.98 0.99 1026
INTJ 0.57 0.67 0.62 6
NOUN 0.94 0.96 0.95 1236
NUM 0.89 0.95 0.92 138
PART 0.10 1.00 0.18 7
PRON 0.98 0.97 0.97 441
PROPN 0.92 0.82 0.87 335
PUNCT 1.00 1.00 1.00 840
SCONJ 0.85 0.96 0.90 98
SYM 0.91 0.91 0.91 23
VERB 0.79 0.92 0.85 606
X 0.17 0.17 0.17 6
avg / total 0.92 0.91 0.91 7020