---
license: cc-by-nc-sa-3.0
language:
- bg
metrics:
- accuracy
library_name: spacy
pipeline_tag: token-classification
model-index:
- name: bg_news_trf
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.8890829694
    - name: NER Recall
      type: recall
      value: 0.8886948931
    - name: NER F Score
      type: f_score
      value: 0.8888888889
  - task:
      name: TAG
      type: token-classification
    metrics:
    - name: TAG (XPOS) Accuracy
      type: accuracy
      value: 0.9702076246
  - task:
      name: POS
      type: token-classification
    metrics:
    - name: POS (UPOS) Accuracy
      type: accuracy
      value: 0.9897910505
  - task:
      name: MORPH
      type: token-classification
    metrics:
    - name: Morph (UFeats) Accuracy
      type: accuracy
      value: 0.9764380425
  - task:
      name: LEMMA
      type: token-classification
    metrics:
    - name: Lemma Accuracy
      type: accuracy
      value: 0.9404442198
  - task:
      name: UNLABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Unlabeled Attachment Score (UAS)
      type: f_score
      value: 0.9349327787
  - task:
      name: LABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Labeled Attachment Score (LAS)
      type: f_score
      value: 0.8934417103
  - task:
      name: SENTS
      type: token-classification
    metrics:
    - name: Sentences F-Score
      type: f_score
      value: 0.9241131567
tags:
- ner
- named entity recognition
- spacy
---
| Feature | Description |
| --- | --- |
| **Name** | `bg_news_trf` |
| **Version** | `3.5.4` |
| **spaCy** | `>=3.5.4,<3.6.0` |
| **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
| **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [UD_Bulgarian-BTB](https://github.com/UniversalDependencies/UD_Bulgarian-BTB) (Kiril Simov and Petya Osenova) [BERT multilingual base model (uncased)](https://huggingface.co/bert-base-multilingual-uncased) (Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova)|
| **License** | CC-BY-NC-SA-3.0 |
| **Author** | [Ivaylo Sakelariev](https://github.com/sakelariev) |

Bulgarian transformers pipeline for BGspaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner