Chinese Spelling Correction Based on Knowledge Enhancement and Contrastive Learning

Author:

WANG Hao12,MA Yao12,DUAN Jianyong12,HE Li12,LI Xin12

Affiliation:

1. School of Information Science and Technology, North China University of Technology

2. CNONIX National Standard Application and Promotion Lab

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Reference26 articles.

1. [1] J. Yu and Z. Li, “Chinese spelling error detection and correction based on language model, pronunciation, and shape,” Proc. Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp.220-223, 2014. 10.3115/v1/w14-6835

2. [2] J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” Proc. 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, Minnesota. Association for Computational Linguistics, pp.4171-4186, 2019. 10.18653/v1/N19-1423

3. [3] L. Zhang, M. Zhou, and C. Huang, “Automatic detecting/correcting errors in Chinese text by an approximate word-matching algorithm,” Proc. 38th Annual Meeting of the Association for Computational Linguistics, pp.248-254, 2000. 10.3115/1075218.1075250

4. [4] Y.-H. Tseng, L.-H. Lee, L.-P. Chang, and H.-H. Chen, “Introduction to sighan 2015 bake-off for Chinese spelling check,” Proc. Eighth SIGHAN Workshop on Chinese Language Processing, pp.32-37, 2015. 10.18653/v1/w15-3106

5. [5] J. Xiong, Q. Zhang, and S. Zhang, “HANSpeller: a unified framework for Chinese spelling correction,” International Journal of Computational Linguistics & Chinese Language Processing, Volume 20, Number 1, June 2015-Special Issue on Chinese as a Foreign Language, 2015. 10.18653/v1/W15-3107

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