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 3.1.0
spaCy >=3.1.0,<3.2.0
Default Pipeline morphologizer, parser, attribute_ruler, lemmatizer, ner
Components morphologizer, parser, senter, attribute_ruler, lemmatizer, ner
Vectors 0 keys, 0 unique vectors (0 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)
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 92.10
SENTS_P 76.81
SENTS_R 68.83
SENTS_F 72.60
DEP_UAS 64.57
DEP_LAS 47.50
ENTS_P 71.01
ENTS_R 67.74
ENTS_F 69.34
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Evaluation results