Details: https://nightly.spacy.io/models/en#en_core_web_lg
File checksum:
7a906615d46af70cd722681dc0d5f284801a924e45f3dfbe869aa9e2e38fecd9
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
|---|---|
| Name | en_core_web_lg
|
| Version | 3.0.0a1
|
| spaCy | >=3.0.0rc3,<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
| 97.38 |
DEP_UAS
| 91.86 |
DEP_LAS
| 90.05 |
ENTS_P
| 85.92 |
ENTS_R
| 85.14 |
ENTS_F
| 85.53 |
SENTS_P
| 90.57 |
SENTS_R
| 87.47 |
SENTS_F
| 89.00 |
Installation
pip install spacy-nightly --pre
python -m spacy download en_core_web_lg