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VSEC: Transformer-based Model for Vietnamese Spelling Correction [article]

Dinh-Truong Do, Ha Thanh Nguyen, Thang Ngoc Bui, Dinh Hieu Vo
2021 arXiv   pre-print
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