readme: ---
  license: mit
  tags:
  - feature-extraction
  library_name: generic
  datasets:
  - ubertext2.0
  widget:
  - text: "доброго вечора ми з україни"
  ---
  
  **cbow.uk.300.bin** is pre-trained word vectors for the Ukrainian language, trained with fastText on (yet unreleased) UberText2.0 dataset, collected and processed by the [lang-uk](https://lang.org.ua/en/). This model was trained using cbow in dimension 300, with character n-grams range of 4-6, and 15 negative samples.
  
  The dataset for Ukrainian word analogy is available [here](https://github.com/lang-uk/vecs/).
  
  Extrinsic evaluations were performed on two sequence labeling tasks: NER and POS tagging. [NER-UK dataset](https://github.com/lang-uk/ner-uk) was released by the [lang-uk](https://lang.org.ua/), and [Ukrainian (UD) corpus](https://github.com/brown-uk/corpus) was developed by a [non-profit organization Institute for Ukrainian](https://mova.institute/).
  
  Results:
  1) Word analogy task: **0.49**
  2) spaCy NER F-score: **0.82**
  3) POS Flair Accuracy: **0.82**
  4) POS spaCy Accuracy: **0.87**
  
  
  Usage
  ```
  import fasttext.util
  ft = fasttext.load_model('cbow.uk.300.bin')
  ft.get_word_vector('привіт')
  ```
  
  Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk](https://lang.org.ua) project, [Nataliia Romanyshyn](https://github.com/romanyshyn-natalia), [Ukrainian Catholic University](https://ucu.edu.ua/en/), 2022