Checksum .tar.gz:
1c8622707f3379fdeb9de8f8b9e756798b7c8c176b9fa3837f4234f47ba6327e
Checksum .whl:72c89a79a722eeebae0a40eebb3f93c0a137629455a0cbc721c30ca133857d7e
Details: https://spacy.io/models/zh#zh_core_web_sm
Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_sm
|
| Version | 3.4.0
|
| spaCy | >=3.4.0,<3.5.0
|
| Default Pipeline | tok2vec, tagger, parser, attribute_ruler, ner
|
| Components | tok2vec, tagger, parser, senter, attribute_ruler, ner
|
| Vectors | 0 keys, 0 unique vectors (0 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) |
| License | MIT
|
| Author | Explosion |
| Model size | 46 MB |
Label Scheme
View label scheme (100 labels for 3 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, _SP
|
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
|
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
| 89.31 |
SENTS_P
| 77.73 |
SENTS_R
| 72.62 |
SENTS_F
| 75.08 |
DEP_UAS
| 69.53 |
DEP_LAS
| 64.00 |
ENTS_P
| 72.05 |
ENTS_R
| 65.03 |
ENTS_F
| 68.36 |
Installation
pip install spacy
python -m spacy download zh_core_web_sm