github explosion/spacy-models mk_core_news_sm-3.0.0

Downloads Downloads (wheel)

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

Checksum .tar.gz: b96b754841479de25737f452b8077c59e22f483bcc34c689c3e4021b0cbda6ab
Checksum .whl: fddccaff95223803208f4cc769f496b3f4f702a90f5bd4b6dea2b1105a3ada0b

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

Feature Description
Name mk_core_news_sm
Version 3.0.0
spaCy >=3.0.0,<3.1.0
Model size 18 MB
Default Pipeline morphologizer, parser, ner, attribute_ruler, lemmatizer
Components morphologizer, parser, senter, ner, attribute_ruler, lemmatizer
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)
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
POS_ACC 91.88
SENTS_P 62.34
SENTS_R 62.34
SENTS_F 62.34
ENTS_P 71.59
ENTS_R 69.28
ENTS_F 70.42
DEP_UAS 62.01
DEP_LAS 46.65

Installation

pip install spacy
python -m spacy download mk_core_news_sm

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