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

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

Feature Description
Name mk_core_news_lg
Version 3.1.0
spaCy >=3.1.0,<3.2.0
Default Pipeline morphologizer, parser, attribute_ruler, lemmatizer, ner
Components morphologizer, parser, senter, attribute_ruler, lemmatizer, ner
Vectors 274587 keys, 274587 unique vectors (300 dimensions)
Sources Macedonian Corpus (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)
Macedonian Corpus (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)
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 (55 labels for 4 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=X, _, POS=INTJ
parser ROOT, advmod, att, aux, cc, dep, det, dobj, iobj, neg, nsubj, pobj, poss, pozm, pozv, prep, punct, relcl
senter I, S
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
POS_ACC 93.28
SENTS_P 70.42
SENTS_R 64.94
SENTS_F 67.57
DEP_UAS 65.62
DEP_LAS 51.08
ENTS_P 75.50
ENTS_R 74.47
ENTS_F 74.98
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Token Classification
This model can be loaded on the Inference API on-demand.
Evaluation results