Details: https://nightly.spacy.io/models/zh#zh_core_web_lg
File checksum:
97adbf74c2e3630d8099d5ba04faafb4fdc0a7e8c91757f89084037e16225cc3
Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_lg
|
| Version | 3.0.0a1
|
| spaCy | >=3.0.0rc3,<3.1.0
|
| Model size | 577 MB |
| Default Pipeline | tok2vec, tagger, parser, ner, attribute_ruler
|
| Components | tok2vec, tagger, parser, senter, ner, attribute_ruler
|
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | OntoNotes 5 |
| License | MIT
|
| Author | Explosion |
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 |
TAG_ACC
| 90.38 |
DEP_UAS
| 70.82 |
DEP_LAS
| 65.60 |
ENTS_P
| 73.71 |
ENTS_R
| 69.20 |
ENTS_F
| 71.38 |
SENTS_P
| 78.25 |
SENTS_R
| 72.72 |
SENTS_F
| 75.38 |
Installation
pip install spacy-nightly --pre
python -m spacy download zh_core_web_lg