Details: https://spacy.io/models/zh#zh_core_web_md
Checksum .tar.gz:
aadb978054f8319ede631eccd6e1e884156c638a2a26276c9344fa6d11fdd782
Checksum .whl:bb2f3dec5f010dc4e4c70e513ee9b909c6c6fcaaee593d4f5a2de0864039c0fd
Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_md
|
| Version | 3.0.0
|
| spaCy | >=3.0.0,<3.1.0
|
| Model size | 76 MB |
| Default Pipeline | tok2vec, tagger, parser, ner, attribute_ruler
|
| Components | tok2vec, tagger, parser, senter, ner, attribute_ruler
|
| Vectors | 500000 keys, 20000 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
| 90.18 |
DEP_UAS
| 70.49 |
DEP_LAS
| 65.22 |
ENTS_P
| 72.71 |
ENTS_R
| 68.01 |
ENTS_F
| 70.28 |
SENTS_P
| 78.99 |
SENTS_R
| 73.00 |
SENTS_F
| 75.88 |
Installation
pip install spacy
python -m spacy download zh_core_web_md