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README.md

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 # Bengali Sentence Error Correction
 
-The goal here is to train a model that could fix grammatical and syntax errors in Bengali text. The approach was similar to how a language translator works, where the incorrect sentence is transformed into a correct one. We fine-tune a pertained model, namely [mBart50](https://huggingface.co/facebook/mbart-large-50) with a [dataset](https://github.com/hishab-nlp/BNSECData) of 1.3 M samples for 6500 steps and achieve a score of ```BLEU: 0.443, CER:0.159, WER:0.406, Meteor: 0.655``` when tested on unseen data. Clone/download this repo, run the `correction.py` script, and type the sentence after the prompt and you are all set.  Here is a live [Demo Space](https://huggingface.co/spaces/asif00/Bengali_Sentence_Error_Correction__mbart_bn_error_correction) of the finetune model in action.
+The goal here is to train a model that could fix grammatical and syntax errors in Bengali text. The approach was similar to how a language translator works, where the incorrect sentence is transformed into a correct one. We fine-tune a pertained model, namely [mBart50](https://huggingface.co/facebook/mbart-large-50) with a [dataset](https://github.com/hishab-nlp/BNSECData) of 1.3 M samples for 6500 steps and achieve a score of ```BLEU: 0.443, CER:0.159, WER:0.406, Meteor: 0.655``` when tested on unseen data. Clone/download this repo, run the `correction.py` script, and type the sentence after the prompt and you are all set.  Here is a live [Demo Space](https://huggingface.co/spaces/asif00/Bengali_Sentence_Error_Correction__mbart_bn_error_correction) of the finetune model in action. The full training process with the original training notebook can be found here: [GitHub](https://github.com/himisir/Bengali-Sentence-Error-Correction).
 
 ## Usage