github explosion/spacy-models mk_core_news_sm-3.7.0

Downloads Downloads (wheel)

Checksum .tar.gz: 77b5645ce298a7f5c08cf7373a022c53de15cc45009b7711ff4bc251e78405a0
Checksum .whl: eaaf78d43c13360c60d2e6a56d32b2cc980303ea588553aec2a3792c9878413f

Details: https://spacy.io/models/mk#mk_core_news_sm

Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.

Feature Description
Name mk_core_news_sm
Version 3.7.0
spaCy >=3.7.0,<3.8.0
Default Pipeline morphologizer, parser, attribute_ruler, lemmatizer, ner
Components morphologizer, parser, senter, attribute_ruler, lemmatizer, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources Macedonian Corpus (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)
spaCy lookups data (Explosion)
License CC BY-SA 4.0
Author Explosion
Model size 17 MB

Label Scheme

View label scheme (54 labels for 3 components)
Component Labels
morphologizer POS=PROPN, POS=AUX, POS=ADJ, POS=NOUN, POS=ADP, POS=PUNCT, POS=CONJ, POS=NUM, POS=VERB, POS=PRON, POS=ADV, POS=SCONJ, POS=PART, POS=SYM, _, POS=SPACE, POS=X, POS=INTJ
parser ROOT, advmod, att, aux, cc, dep, det, dobj, iobj, neg, nsubj, pobj, poss, pozm, pozv, prep, punct, relcl
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 100.00
TOKEN_P 100.00
TOKEN_R 100.00
TOKEN_F 100.00
SENTS_P 76.06
SENTS_R 70.13
SENTS_F 72.97
DEP_UAS 64.64
DEP_LAS 47.54
ENTS_P 72.65
ENTS_R 70.98
ENTS_F 71.80
POS_ACC 91.99

Installation

pip install spacy
python -m spacy download mk_core_news_sm

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