readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - mk
  license: cc-by-sa-4.0
  model-index:
  - name: mk_core_news_lg
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.7506382979
      - name: NER Recall
        type: recall
        value: 0.7506382979
      - name: NER F Score
        type: f_score
        value: 0.7506382979
    - task:
        name: POS
        type: token-classification
      metrics:
      - name: POS (UPOS) Accuracy
        type: accuracy
        value: 0.9309414621
    - task:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Unlabeled Attachment Score (UAS)
        type: f_score
        value: 0.6783968719
    - task:
        name: LABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Labeled Attachment Score (LAS)
        type: f_score
        value: 0.5298142717
    - task:
        name: SENTS
        type: token-classification
      metrics:
      - name: Sentences F-Score
        type: f_score
        value: 0.6756756757
  ---
  ### 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](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
  | **License** | `CC BY-SA 4.0` |
  | **Author** | [Explosion](https://explosion.ai) |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (54 labels for 3 components)</summary>
  
  | 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` |
  
  </details>
  
  ### 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 |