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EN
Fr Core News Lg
Large French language processing model provided by spaCy, optimized for CPU, supporting multiple NLP tasks
Downloads 1,572
Release Time : 3/2/2022
Model Overview
This is a comprehensive French natural language processing pipeline, including POS tagging, named entity recognition, dependency parsing, lemmatization, and more. The model is trained on high-quality French corpora and is suitable for processing news domain texts.
Model Features
Multi-task processing capability
A single model supports multiple NLP tasks such as named entity recognition, POS tagging, dependency parsing, and lemmatization.
CPU optimization
Optimized for CPU usage scenarios, capable of efficient operation without requiring a GPU.
High-quality vector representations
Includes 500,000 pre-trained word vectors (300 dimensions), providing rich semantic representations.
Comprehensive morphological analysis
Supports detailed analysis of French morphological features, including gender, number, tense, etc.
Model Capabilities
Named entity recognition
POS tagging
Morphological analysis
Lemmatization
Dependency parsing
Sentence segmentation
Use Cases
Text analysis
News content analysis
Extract named entities (people, places, organizations, etc.) from French news articles
NER F-score reached 0.839
Syntax analysis
Analyze the grammatical structure and POS tagging of French sentences
UPOS tagging accuracy reached 0.973
Information extraction
Structured data extraction
Extract structured information from unstructured French texts
🚀 fr_core_news_lg
A French language processing pipeline optimized for CPU, offering high - performance token classification.
📚 Documentation
Details: https://spacy.io/models/fr#fr_core_news_lg
This French pipeline is optimized for CPU. Its components include tok2vec, morphologizer, parser, senter, ner, attribute_ruler, and lemmatizer.
| Property | Details |
|---|---|
| Name | fr_core_news_lg |
| Version | 3.7.0 |
| spaCy | >=3.7.0,<3.8.0 |
| Default Pipeline | tok2vec, morphologizer, parser, attribute_ruler, lemmatizer, ner |
| Components | tok2vec, morphologizer, parser, senter, attribute_ruler, lemmatizer, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | UD French Sequoia v2.8 (Candito, Marie; Seddah, Djamé; Perrier, Guy; Guillaume, Bruno) WikiNER (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) spaCy lookups data (Explosion) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion) |
| License | LGPL-LR |
| Author | Explosion |
Label Scheme
View label scheme (237 labels for 3 components)
| Component | Labels |
|---|---|
morphologizer |
POS=PROPN, Gender=Fem|Number=Sing|POS=DET|PronType=Dem, Gender=Fem|Number=Sing|POS=NOUN, Number=Plur|POS=PRON|Person=1, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, POS=SCONJ, POS=ADP, Definite=Def|Gender=Masc|Number=Sing|POS=DET|PronType=Art, NumType=Ord|POS=ADJ, Gender=Masc|Number=Sing|POS=NOUN, POS=PUNCT, Gender=Masc|Number=Sing|POS=PROPN, Number=Plur|POS=ADJ, Gender=Masc|Number=Plur|POS=NOUN, Definite=Ind|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Number=Sing|POS=ADJ, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Imp|VerbForm=Fin, POS=ADV, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Past|VerbForm=Fin, Gender=Fem|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art, Gender=Fem|Number=Sing|POS=PROPN, Definite=Def|Number=Sing|POS=DET|PronType=Art, NumType=Card|POS=NUM, Definite=Def|Number=Plur|POS=DET|PronType=Art, Gender=Masc|Number=Plur|POS=ADJ, POS=CCONJ, Gender=Fem|Number=Plur|POS=NOUN, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Past|VerbForm=Fin, Gender=Masc|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Gender=Fem|Number=Plur|POS=ADJ, POS=ADJ, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Past|VerbForm=Fin, POS=PRON|PronType=Rel, Number=Sing|POS=DET|Poss=Yes, Definite=Def|Gender=Masc|Number=Sing|POS=ADP|PronType=Art, Definite=Def|Number=Plur|POS=ADP|PronType=Art, Definite=Ind|Number=Plur|POS=DET|PronType=Art, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Past|VerbForm=Fin, Gender=Masc|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, POS=VERB|VerbForm=Inf, Gender=Fem|Number=Sing|POS=ADJ, Gender=Masc|Number=Sing|POS=PRON|Person=3, Number=Plur|POS=DET, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Gender=Masc|Number=Sing|POS=ADJ, Gender=Masc|Number=Sing|POS=DET|PronType=Dem, POS=ADV|PronType=Int, POS=VERB|Tense=Pres|VerbForm=Part, Gender=Fem|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art, Gender=Masc|POS=ADJ, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Fut|VerbForm=Fin, Number=Plur|POS=DET|Poss=Yes, POS=AUX|VerbForm=Inf, Gender=Masc|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Gender=Masc|POS=VERB|Tense=Past|VerbForm=Part, POS=ADV|Polarity=Neg, Definite=Ind|Number=Sing|POS=DET|PronType=Art, Gender=Fem|Number=Sing|POS=PRON|Person=3, POS=PRON|Person=3|Reflex=Yes, Gender=Masc|POS=NOUN, POS=AUX|Tense=Past|VerbForm=Part, POS=PRON|Person=3, Number=Plur|POS=NOUN, NumType=Ord|Number=Sing|POS=ADJ, POS=VERB|Tense=Past|VerbForm=Part, POS=AUX|Tense=Pres|VerbForm=Part, Gender=Masc|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Number=Sing|POS=PRON|Person=3, Number=Sing|POS=NOUN, Gender=Masc|Number=Plur|POS=PRON|Person=3, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Imp|VerbForm=Fin, Gender=Fem|NumType=Ord|Number=Sing|POS=ADJ, Number=Plur|POS=PROPN, Number=Sing|POS=PROPN, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Imp|VerbForm=Fin, Mood=Ind|Number=Plur|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Gender=Masc|Number=Plur|POS=PRON|PronType=Dem, Gender=Masc|Number=Sing|POS=DET, Gender=Fem|Number=Sing|POS=DET|Poss=Yes, Gender=Masc|POS=PRON, POS=NOUN, Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Fut|VerbForm=Fin, Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Fut|VerbForm=Fin, Mood=Ind|Number=Plur|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Number=Plur|POS=PRON, Gender=Masc|NumType=Ord|Number=Plur|POS=ADJ, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Fut|VerbForm=Fin, Gender=Fem|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Number=Sing|POS=PRON, Number=Sing|POS=PRON|PronType=Dem, Mood=Ind|POS=VERB|VerbForm=Fin, Number=Plur|POS=DET|PronType=Dem, Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Prs, Gender=Masc|Number=Plur|POS=PRON|Person=3|PronType=Prs, Gender=Masc|Number=Sing|POS=PRON, Gender=Masc|Number=Sing|POS=PRON|Person=3|PronType=Dem, Number=Sing|POS=PRON|Person=2|PronType=Prs, Gender=Masc|Number=Sing|POS=PRON|PronType=Rel, Mood=Ind|Number=Plur|POS=AUX|Person=3|Tense=Imp|VerbForm=Fin, Mood=Sub|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Gender=Masc|NumType=Ord|Number=Sing|POS=ADJ, POS=PRON, POS=NUM, Gender=Fem|POS=NOUN, POS=SPACE, Gender=Fem|Number=Plur|POS=PRON, Number=Plur|POS=PRON|Person=3, Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Number=Sing|POS=PRON|Person=1, Mood=Ind|Number=Sing|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Mood=Sub|Number=Sing|POS=VERB|Person=3|Tense=Past|VerbForm=Fin, Gender=Fem|Number=Sing|POS=PRON, Gender=Fem|Number=Sing|POS=PRON|Person=3|PronType=Prs, Mood=Sub|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, POS=INTJ, Number=Plur|POS=PRON|Person=2, NumType=Card|POS=PRON, Definite=Ind|Gender=Fem|Number=Plur|POS=DET|PronType=Art, Gender=Fem|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, NumType=Card|POS=NOUN, POS=PRON|PronType=Int, Gender=Fem|Number=Plur|POS=PRON|Person=3, Gender=Fem|Number=Sing|POS=DET, Mood=Cnd|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Gender=Fem|Number=Plur|POS=DET, Mood=Sub|Number=Plur|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Definite=Ind|Gender=Masc|Number=Plur|POS=DET|PronType=Art, Mood=Cnd|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Gender=Masc|Number=Sing|POS=PRON|PronType=Dem, Gender=Masc|Number=Plur|POS=PROPN, Mood=Cnd|Number=Plur|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Gender=Fem|Number=Sing|POS=PRON|PronType=Dem, Number=Sing|POS=DET, Gender=Masc|NumType=Card|Number=Plur|POS=NOUN, Gender=Fem|Number=Plur|POS=PRON|PronType=Dem, Mood=Ind|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin, Gender=Fem|POS=PRON, Gender=Masc|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Gender=Fem|Number=Sing|POS=PRON|PronType=Rel, Mood=Ind|Number=Sing|POS=AUX|Person=1|Tense=Imp|VerbForm=Fin, Mood=Cnd|Number=Plur|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Mood=Ind|Number=Sing|POS=AUX|Person=1|Tense=Pres|VerbForm=Fin, Gender=Masc|Number=Sing|POS=AUX|Tense=Past|VerbForm=Part, POS=X, POS=SYM, Mood=Imp|Number=Plur|POS=VERB|Person=2|Tense=Pres|VerbForm=Fin, Mood=Ind|Number=Plur|POS=VERB|Person=2|Tense=Pres|VerbForm=Fin, Gender=Masc|Number=Sing|POS=DET|PronType=Int, Gender=Fem|Number=Plur|POS=DET|PronType=Int, POS=DET, Gender=Masc|Number=Plur|POS=PRON, Mood=Sub|Number=Plur|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Mood=Ind|POS=VERB|Person=3|VerbForm=Fin, Number=Sing|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Mood=Cnd|Number=Plur|POS=VERB|Person=2|Tense=Pres|VerbForm=Fin, Mood=Ind|Number=Plur|POS=AUX|Person=2|Tense=Pres|VerbForm=Fin, Gender=Fem|Number=Sing|POS=DET|PronType=Int, Gender=Masc|Number=Plur|POS=DET, Gender=Fem|Number=Plur|POS=PRON|PronType=Rel, Number=Plur|POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Gender=Masc|Number=Plur|POS=PRON|PronType=Rel, POS=VERB|Tense=Past|VerbForm=Part|Voice=Pass, Gender=Fem|NumType=Ord|Number=Plur|POS=ADJ, Mood=Ind|Number=Plur|POS=VERB|Person=2|Tense=Fut|VerbForm=Fin, Mood=Imp|POS=VERB|Tense=Pres|VerbForm=Fin, Number=Plur|POS=PRON|Person=2|Reflex=Yes, Mood=Cnd|Number=Sing|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Number=Plur|POS=PRON|Person=1|Reflex=Yes, Gender=Masc|NumType=Card|Number=Sing|POS=NOUN, Mood=Ind|Number=Plur|POS=AUX|Person=1|Tense=Pres|VerbForm=Fin, Mood=Ind|Number=Plur|POS=AUX|Person=1|Tense=Fut|VerbForm=Fin, Mood=Ind|Number=Plur|POS=VERB|Person=1|Tense=Fut|VerbForm=Fin, Number=Sing|POS=PRON|Person=1|Reflex=Yes, Mood=Ind|Number=Plur|POS=VERB|Person=1|Tense=Imp|VerbForm=Fin, Mood=Ind|Number=Plur|POS=AUX|Person=1|Tense=Imp|VerbForm=Fin, Mood=Ind|Number=Sing|POS=VERB|Person=1|Tense=Imp|VerbForm=Fin, Mood=Sub|Number=Sing|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Gender=Masc|POS=PROPN, Mood=Cnd|Number=Plur|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin, Number=Plur|POS=PRON|Person=1|PronType=Prs, Mood=Sub|Number=Sing|POS=AUX|Person=1|Tense=Pres|VerbForm=Fin, Number=Plur|POS=PRON|Person=2|PronType=Prs, Mood=Ind|Number=Sing|POS=VERB|Person=1|Tense=Fut|VerbForm=Fin, Gender=Fem|Number=Plur|POS=PRON|Person=3|PronType=Prs, Number=Sing|POS=PRON|Person=1|PronType=Prs, Mood=Cnd|Number=Sing|POS=AUX|Person=1|Tense=Pres|VerbForm=Fin, Mood=Sub|Number=Plur|POS=AUX|Person=1|Tense=Pres|VerbForm=Fin, Mood=Imp|Number=Plur|POS=VERB|Person=1|Tense=Pres|VerbForm=Fin, Mood=Sub|Number=Plur|POS=AUX|Person=2|Tense=Pres|VerbForm=Fin, Mood=Ind|Number=Plur|POS=VERB|Person=2|Tense=Imp|VerbForm=Fin, Mood=Ind|Number=Sing|POS=AUX|Person=2|Tense=Imp|VerbForm=Fin, Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Gender=Fem|Number=Plur|POS=PROPN, Gender=Masc|NumType=Card|POS=NUM |
parser |
ROOT, acl, acl:relcl, advcl, advmod, amod, appos, aux:pass, aux:tense, case, cc, ccomp, conj, cop, dep, det, expl:comp, expl:pass, expl:subj, fixed, flat:foreign, flat:name, iobj, mark, nmod, nsubj, nsubj:pass, nummod, obj, obl:agent, obl:arg, obl:mod, parataxis, punct, vocative, xcomp |
ner |
LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
TOKEN_ACC |
99.80 |
TOKEN_P |
98.44 |
TOKEN_R |
98.96 |
TOKEN_F |
98.7 |
🔧 Technical Details
Model Index
- Name: fr_core_news_lg
- Results:
- Task: NER (Token - Classification)
- Metrics:
- NER Precision: 0.8398572946
- NER Recall: 0.83869741
- NER F Score: 0.8392769516
- Metrics:
- Task: TAG (Token - Classification)
- Metrics:
- TAG (XPOS) Accuracy: 0.9446562919
- Metrics:
- Task: POS (Token - Classification)
- Metrics:
- POS (UPOS) Accuracy: 0.9734102855
- Metrics:
- Task: MORPH (Token - Classification)
- Metrics:
- Morph (UFeats) Accuracy: 0.9674260386
- Metrics:
- Task: LEMMA (Token - Classification)
- Metrics:
- Lemma Accuracy: 0.9135840526
- Metrics:
- Task: UNLABELED_DEPENDENCIES (Token - Classification)
- Metrics:
- Unlabeled Attachment Score (UAS): 0.9028935185
- Metrics:
- Task: LABELED_DEPENDENCIES (Token - Classification)
- Metrics:
- Labeled Attachment Score (LAS): 0.8654090962
- Metrics:
- Task: SENTS (Token - Classification)
- Metrics:
- Sentences F - Score: 0.8735083532
- Metrics:
- Task: NER (Token - Classification)
📄 License
This project is licensed under the LGPL-LR license.
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