Abstract
The NLPCC 2018 Chinese Grammatical Error Correction (CGEC) shared task seeks the best solution to detecting and correcting grammatical errors in Chinese essays written by non-native Chinese speakers. This paper describes Youdao NLP team’s approach to this challenge, which won the 1st place in the contest. Overall, we cast the problem as a machine translation task. We use a staged approach and design specific modules targeting at particular errors, including spelling, grammatical, etc. The task uses \(\text {M}^2\) Scorer [5] to evaluate every system’s performance, and our final solution achieves the highest recall and \(F_{0.5}\).
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Fu, K., Huang, J., Duan, Y. (2018). Youdao’s Winning Solution to the NLPCC-2018 Task 2 Challenge: A Neural Machine Translation Approach to Chinese Grammatical Error Correction. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2018. Lecture Notes in Computer Science(), vol 11108. Springer, Cham. https://doi.org/10.1007/978-3-319-99495-6_29
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DOI: https://doi.org/10.1007/978-3-319-99495-6_29
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