github explosion/spacy-models mk_core_news_lg-3.0.0

Downloads Downloads (wheel)

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

Checksum .tar.gz: d2c191614cc9aa7bbb0c038cb5bc8517c4dbe2f2930b404e8bcdd29bf0bbb9ba
Checksum .whl: 49f408841f8ee22bd0a9eddb2d31bd4c651f5cd30b3b13e6e6dbf7e0da3411f7

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

Feature Description
Name mk_core_news_lg
Version 3.0.0
spaCy >=3.0.0,<3.1.0
Model size 312 MB
Default Pipeline morphologizer, parser, ner, attribute_ruler, lemmatizer
Components morphologizer, parser, senter, ner, attribute_ruler, lemmatizer
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)
License CC BY-SA 4.0
Author Explosion

Label Scheme

View label scheme (54 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
ENTS_P 76.48
ENTS_R 75.83
ENTS_F 76.15
SENTS_P 78.79
SENTS_R 67.53
SENTS_F 72.73
POS_ACC 93.31
DEP_UAS 67.65
DEP_LAS 51.37

Installation

pip install spacy
python -m spacy download mk_core_news_lg

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