Czech spaCy pipeline optimized for CPU with tokenizer, POS, morphology, dependency parsing, lemmatization and NER.
Project description
# 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.
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