Metadata-Version: 2.4
Name: cs_core_news_sm
Version: 0.2.1
Summary: Czech spaCy pipeline optimized for CPU with tokenizer, POS, morphology, dependency parsing, lemmatization and NER.
Home-page: 
Author: trackme518
Author-email: 
License: CC BY-NC-SA 3.0
Requires-Dist: spacy<3.9.0,>=3.8.14
Dynamic: author
Dynamic: description
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

# cs_core_news_sm 0.2.0

Czech spaCy pipeline optimized for CPU.

Components: tok2vec, morphologizer, parser, trainable_lemmatizer, ner.

Evaluation on the held-out Czech test corpus:

- TOK: 99.64
- POS: 97.33
- MORPH: 90.79
- LEMMA: 96.95
- UAS: 87.49
- LAS: 82.37
- NER F: 57.03
- SENT F: 99.91

License: CC BY-NC-SA 3.0 due to derived CNEC 2.0 data.
