Checksum .tar.gz:
77b0eddbc514ea7f26794e5938d3995229b9e0d0a7d0ee2a9f1aabab3cebaa85
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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 | 3.5.0
|
spaCy | >=3.5.0,<3.6.0
|
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) spaCy lookups data (Explosion) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion) |
License | CC BY-SA 4.0
|
Author | Explosion |
Model size | 310 MB |
Label Scheme
View label scheme (54 labels for 3 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=SPACE , POS=X , POS=INTJ
|
parser
| ROOT , advmod , att , aux , cc , dep , det , dobj , iobj , neg , nsubj , pobj , poss , pozm , pozv , prep , punct , relcl
|
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
| 70.42 |
SENTS_R
| 64.94 |
SENTS_F
| 67.57 |
DEP_UAS
| 67.84 |
DEP_LAS
| 52.98 |
ENTS_P
| 75.06 |
ENTS_R
| 75.06 |
ENTS_F
| 75.06 |
POS_ACC
| 93.09 |
Installation
pip install spacy
python -m spacy download mk_core_news_lg