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  The model corrects spelling errors and typos by bringing all the words in the text to the norm of the Russian language.
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  Corrector was trained based on the model [M2M100-1.2B](https://huggingface.co/facebook/m2m100_1.2B).
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- An extensive dataset with “artificial” errors was taken as a training corpus: the corpus was assembled on the basis of the Russian-language Wikipedia and transcripts of Russian-language videos, then typos and spelling errors were automatically introduced into it using the library [SAGE](https://github.com/orgs/ai-forever/sage).
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  ### Public references
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  - [SAGE library announcement](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
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  ```
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  ## Resources
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- - [SAGE library](https://github.com/orgs/ai-forever/sage), GitHub
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  - [ruM2M100-1.2B](https://huggingface.co/ai-forever/RuM2M100-1.2B), HuggingFace
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  - [ruM2M100-418M](https://huggingface.co/ai-forever/RuM2M100-420M), HuggingFace
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  - [FredT5-large-spell](https://huggingface.co/ai-forever/FRED-T5-large-spell), HuggingFace
 
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  The model corrects spelling errors and typos by bringing all the words in the text to the norm of the Russian language.
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  Corrector was trained based on the model [M2M100-1.2B](https://huggingface.co/facebook/m2m100_1.2B).
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+ An extensive dataset with “artificial” errors was taken as a training corpus: the corpus was assembled on the basis of the Russian-language Wikipedia and transcripts of Russian-language videos, then typos and spelling errors were automatically introduced into it using the library [SAGE](https://github.com/ai-forever/sage).
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  ### Public references
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  - [SAGE library announcement](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
 
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  ```
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  ## Resources
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+ - [SAGE library](https://github.com/ai-forever/sage), GitHub
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  - [ruM2M100-1.2B](https://huggingface.co/ai-forever/RuM2M100-1.2B), HuggingFace
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  - [ruM2M100-418M](https://huggingface.co/ai-forever/RuM2M100-420M), HuggingFace
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  - [FredT5-large-spell](https://huggingface.co/ai-forever/FRED-T5-large-spell), HuggingFace