Details: https://spacy.io/models/en#en_core_web_lg
Checksum .tar.gz:
1eb1fafcde97778bc3c13f9da712e37d789f5d1bc2f3314968222cb77f41ab69
Checksum .whl:ad2cd3ed1c0403a89cafcf0ea0ec1e2e05182f7073c0c931b02fe789e44a19b0
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
|---|---|
| Name | en_core_web_lg |
| Version | 3.0.0 |
| spaCy | >=3.0.0,<3.1.0 |
| Model size | 742 MB |
| Default Pipeline | tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer |
| Components | tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer |
| Vectors | 684830 keys, 684830 unique vectors (300 dimensions) |
| Sources | OntoNotes 5 |
| License | MIT |
| Author | Explosion |
Label Scheme
View label scheme (114 labels for 4 components)
| Component | Labels |
|---|---|
tagger | $, '', ,, -LRB-, -RRB-, ., :, ADD, AFX, CC, CD, DT, EX, FW, HYPH, IN, JJ, JJR, JJS, LS, MD, NFP, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, XX, ```` |
parser | ROOT, acl, acomp, advcl, advmod, agent, amod, appos, attr, aux, auxpass, case, cc, ccomp, compound, conj, csubj, csubjpass, dative, dep, det, dobj, expl, intj, mark, meta, neg, nmod, npadvmod, nsubj, nsubjpass, nummod, oprd, parataxis, pcomp, pobj, poss, preconj, predet, prep, prt, punct, quantmod, relcl, xcomp |
senter | I, S |
ner | CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART |
Accuracy
| Type | Score |
|---|---|
TOKEN_ACC | 99.93 |
TAG_ACC | 97.40 |
DEP_UAS | 91.98 |
DEP_LAS | 90.19 |
ENTS_P | 85.91 |
ENTS_R | 85.17 |
ENTS_F | 85.54 |
SENTS_P | 90.15 |
SENTS_R | 87.87 |
SENTS_F | 89.00 |
Installation
pip install spacy
python -m spacy download en_core_web_lg