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The sequence to sequence model based on the Transformer architecture makes our approach different from the previous works on the same problem. ... In this paper, we propose a novel method to correct Vietnamese spelling errors. We tackle the problems of mistyped errors and misspelled errors by using a deep learning model. ... In this paper, we propose a subword-level Transformer based model for Vietnamese spelling correction and evaluate it with a realistic dataset. ...arXiv:2111.00640v2 fatcat:i3u3lodgkzhglpx3qkcxisaq2q