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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 | 3.2.0
|
| spaCy | >=3.2.0,<3.3.0
|
| 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 |
| Model size | 18 MB |
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 |
TOKEN_P
| 100.00 |
TOKEN_R
| 100.00 |
TOKEN_F
| 100.00 |
SENTS_P
| 67.11 |
SENTS_R
| 66.23 |
SENTS_F
| 66.67 |
ENTS_P
| 73.00 |
ENTS_R
| 70.64 |
ENTS_F
| 71.80 |
POS_ACC
| 91.64 |
DEP_UAS
| 63.08 |
DEP_LAS
| 47.60 |
Installation
pip install spacy
python -m spacy download mk_core_news_sm