Checksum .tar.gz:
e3146650122d29bf9503dae009c067a581e7678af0d54ea59e4b4d25297f838b
Checksum .whl:0ad7469433d4402b3d24083af28f41c8b1f7da5cd016146a843b7c35efc4745f
Details: https://spacy.io/models/zh#zh_core_web_lg
Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_lg
|
| Version | 3.2.0
|
| spaCy | >=3.2.0,<3.3.0
|
| Default Pipeline | tok2vec, tagger, parser, attribute_ruler, ner
|
| Components | tok2vec, tagger, parser, senter, attribute_ruler, ner
|
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston) CoreNLP Universal Dependencies Converter (Stanford NLP Group) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion) |
| License | MIT
|
| Author | Explosion |
| Model size | 576 MB |
Label Scheme
View label scheme (101 labels for 4 components)
| Component | Labels |
|---|---|
tagger
| AD, AS, BA, CC, CD, CS, DEC, DEG, DER, DEV, DT, ETC, FW, IJ, INF, JJ, LB, LC, M, MSP, NN, NR, NT, OD, ON, P, PN, PU, SB, SP, URL, VA, VC, VE, VV, X
|
parser
| ROOT, acl, advcl:loc, advmod, advmod:dvp, advmod:loc, advmod:rcomp, amod, amod:ordmod, appos, aux:asp, aux:ba, aux:modal, aux:prtmod, auxpass, case, cc, ccomp, compound:nn, compound:vc, conj, cop, dep, det, discourse, dobj, etc, mark, mark:clf, name, neg, nmod, nmod:assmod, nmod:poss, nmod:prep, nmod:range, nmod:tmod, nmod:topic, nsubj, nsubj:xsubj, nsubjpass, nummod, parataxis:prnmod, punct, 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
| 97.88 |
TOKEN_P
| 94.58 |
TOKEN_R
| 91.36 |
TOKEN_F
| 92.94 |
TAG_ACC
| 90.37 |
SENTS_P
| 78.96 |
SENTS_R
| 72.86 |
SENTS_F
| 75.79 |
DEP_UAS
| 70.69 |
DEP_LAS
| 65.55 |
ENTS_P
| 73.59 |
ENTS_R
| 69.11 |
ENTS_F
| 71.28 |
Installation
pip install spacy
python -m spacy download zh_core_web_lg