spacy
es_core_news_md
En Core Web Sm
en_core_web_lg
en_core_web_md
en_core_web_trf
xx_ent_wiki_sm
pt_core_news_lg
zh_core_web_sm
de_core_news_sm
sl_core_news_lg
sl_core_news_sm
sl_core_news_md
sl_core_news_trf
el_core_news_sm
fr_core_news_sm
el_core_news_lg
el_core_news_md
es_core_news_lg
uk_core_news_lg
de_core_news_md
uk_core_news_sm
ru_core_news_sm
nl_core_news_sm
de_dep_news_trf
ru_core_news_lg
uk_core_news_trf
uk_core_news_md
de_core_news_lg
it_core_news_sm
da_core_news_sm
sv_core_news_sm
ja_core_news_sm
es_core_news_sm
fi_core_news_lg
pt_core_news_sm
nl_core_news_lg
zh_core_web_lg
pl_core_news_sm
nb_core_news_sm
fi_core_news_sm
ko_core_news_sm
mk_core_news_sm
ja_core_news_lg
lt_core_news_md
ro_core_news_lg
ko_core_news_lg
nb_core_news_lg
nl_core_news_md
it_core_news_lg
nb_core_news_md
pl_core_news_lg
da_core_news_md
lt_core_news_lg
it_core_news_md
ca_core_news_lg
hr_core_news_lg
ca_core_news_sm
zh_core_web_md
da_core_news_lg
da_core_news_trf
hr_core_news_sm
fr_core_news_lg
xx_sent_ud_sm
ca_core_news_md
fr_core_news_md
mk_core_news_lg
sv_core_news_lg
fi_core_news_md
ro_core_news_sm
Zh Core Web Trf
Chinese transformer pipeline (Transformer(name='bert-base-chinese', pieceencoder='bert-wordpiece', stride=152, type='bert', width=768, window=208, vocabsize=21128)). Components: transformer, tagger, parser, ner, attributeruler. | Feature | Description | | --- | --- | | Name | `zhcorewebtrf` | | Version | `3.7.2` | | spaCy | `>=3.7.0, CoreNLP Universal Dependencies Converter (Stanford NLP Group) bert-base-chinese (Hugging Face) | | License | `MIT` | | Author | Explosion | | 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` | | `ner` | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORKOFART` | | Type | Score | | --- | --- | | `TOKENACC` | 95.85 | | `TOKENP` | 94.58 | | `TOKENR` | 91.36 | | `TOKENF` | 92.94 | | `TAGACC` | 91.75 | | `SENTSP` | 70.92 | | `SENTSR` | 67.57 | | `SENTSF` | 69.21 | | `DEPUAS` | 75.72 | | `DEPLAS` | 71.45 | | `ENTSP` | 76.09 | | `ENTSR` | 72.18 | | `ENTSF` | 74.08 |