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--- |
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language: |
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- uk |
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library_name: transformers |
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pipeline_tag: text2text-generation |
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tags: |
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- grammatical error correction |
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- GEC |
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- Grammar |
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--- |
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This model was trained by Pravopysnyk team for the Ukrainian NLP shared task in Ukrainian grammar correction. The model is MBart-50-large |
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set to ukr-to-ukr translation task finetuned on UA-GEC augmented by custom dataset generated using our synthetic error generation. |
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The code for error generation will be uploaded on github soon, and the detailed procedure is described in our paper. For this model we added to ua-gec:- |
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5k sentences generated by round translaion (ukr-rus-ukr) |
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10k sentences using our punctuation error generation script |
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2k of dilution (just fully correct sentences sampled from our dataset) |
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10k of russism (errors generated using our russism error generation). |
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Hope you find this description helpful! |
