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%0 Conference Proceedings
%T Low False Alarm Rate Chinese Misspelling Detection Model Based on BERT Task Model
%A Shen, Jyun-Yi
%A Chang, Tao-Hsing
%Y Wang, Jenq-Haur
%Y Lai, Ying-Hui
%S Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
%D 2020
%8 September
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F shen-chang-2020-low
%U https://aclanthology.org/2020.rocling-1.29
%P 319-330

Markdown (Informal)

[Low False Alarm Rate Chinese Misspelling Detection Model Based on BERT Task Model](https://aclanthology.org/2020.rocling-1.29) (Shen & Chang, ROCLING 2020)

• Low False Alarm Rate Chinese Misspelling Detection Model Based on BERT Task Model (Shen & Chang, ROCLING 2020)

ACL

• Jyun-Yi Shen and Tao-Hsing Chang. 2020. Low False Alarm Rate Chinese Misspelling Detection Model Based on BERT Task Model. In Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), pages 319–330, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).