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In recent years, pre-trained models have been extensively studied, andseveral downstream tasks have benefited from their utilization. In this study,we verify the effectiveness of two methods that incorporate a BERT-basedpre-trained model developed by Cui et al. (2020) into an encoder-decoder modelon Chinese grammatical error correction tasks. We also analyze the error typeand conclude that sentence-level errors are yet to be addressed.

Chinese Grammatical Correction Using BERT-based Pre-trained Model