Details: https://spacy.io/models/xx#xx_sent_ud_sm
Multi-language pipeline optimized for CPU. Components: senter.
Feature | Description |
---|---|
Name | xx_sent_ud_sm |
Version | 3.7.0 |
spaCy | >=3.7.0,<3.8.0 |
Default Pipeline | senter |
Components | senter |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB) (Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.) |
License | CC BY-SA 3.0 |
Author | Explosion |
Label Scheme
Accuracy
Type | Score |
---|---|
TOKEN_ACC |
98.59 |
TOKEN_P |
95.31 |
TOKEN_R |
95.72 |
TOKEN_F |
95.52 |
SENTS_P |
90.66 |
SENTS_R |
81.58 |
SENTS_F |
85.88 |
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Evaluation results
- Sentences F-Scoreself-reported0.859