spacy/mk_core_news_md

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

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

Feature	Description
Name	mk_core_news_md
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	274587 keys, 20000 unique vectors (300 dimensions)
Sources	Macedonian Corpus (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska) spaCy lookups data (Explosion) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion)
License	CC BY-SA 4.0
Author	Explosion

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	80.00
SENTS_R	67.53
SENTS_F	73.24
DEP_UAS	67.71
DEP_LAS	52.01
ENTS_P	74.72
ENTS_R	74.47
ENTS_F	74.60
POS_ACC	92.61