Funder
National Natural Science Foundation of China
Ministry of Education of the People's Republic of China
Subject
Software,Information Systems,Human-Computer Interaction,Computer Vision and Pattern Recognition,Computer Science Applications,Artificial Intelligence
Reference43 articles.
1. Afli, H., Qiu, Z., Way, A., Sheridan, P., 2016. Using SMT for OCR error correction of historical texts. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation.
2. Grammatical error correction: A survey of the state of the art;Bryant;Comput. Linguist.,2023
3. Chang, T.-H., Chen, H.-C., Yang, C.-H., 2015. Introduction to a Proofreading Tool for Chinese Spelling Check Task of SIGHAN-8. In: Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing.
4. Cheng, X., Xu, W., Chen, K., Jiang, S., Wang, F., Wang, T., Chu, W., Qi, Y., 2020. SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
5. Chu, W.-C., Lin, C.-J., 2015. NTOU Chinese Spelling Check System in Sighan-8 Bake-off. In: Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing.