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--- |
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license: apache-2.0 |
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language: |
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- bg |
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library_name: spacy |
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pipeline_tag: token-classification |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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# Pretrained spaCy model of Bulgarian language |
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Full paper: [An Improved Bulgarian Natural Language Processing Pipeline](https://annual.uni-sofia.bg/index.php/fmi/article/view/572/559). |
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Presentation [here](https://docs.google.com/presentation/d/1igrxFjlWuPxZuU9mDI1_H23iYA7Rq6D4/edit?usp=sharing&ouid=108163209901619891277&rtpof=true&sd=true). |
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# Usage |
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For information how to use the model, refer to the [GitHub repository of the project](https://github.com/melaniab/spacy-pipeline-bg). |
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# Reference |
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If you use the pipeline in your academic project, please cite as: |
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```bibtex |
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@article |
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{berbatova2023improved, |
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title={An improved Bulgarian natural language processing pipelihttps://github.com/melaniab/spacy-pipeline-bgne}, |
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author={Berbatova, Melania and Ivanov, Filip}, |
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journal={Annual of Sofia University St. Kliment Ohridski. Faculty of Mathematics and Informatics}, |
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volume={110}, |
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pages={37--50}, |
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year={2023} |
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} |
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``` |
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If you use this model in non-academic project, such as study project or industry application, please give me a note at [email protected]. |
