Pham Nghia, Luan and Nguyen Tien, Ha and Nguyen Van, Vinh
(2019)
Grammatical error correction for Vietnamese using Machine Translation.
In: 2019 16th International Conference of the Pacific Association for Computational Linguistics.
Abstract
Correction of Vietnamese grammatical errors plays an important role in Natural Language Processing. In this paper, we propose a new method using Machine Translation. We consider the grammatical error correction problem like machine translation problem with source language as grammatical wrong text and target language as grammatical
right texts, respectively. Additionally, we carry out pre-processing step with grammatical wrong text using spelling checker such as MS Word spelling tool before using Machine translation model. Our experiments based on the state-of-the-art Machine Translation systems combining with pre-processing step. Experimental results achieved 84.32 BLEU score with Vietnamese grammatical error correct based on SMT architecture and 88.71 BLEU score system based on NMT architecture, which indicates that our method achieves promising results.
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