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 M2 Scorer [5] to evaluate every system’s performance, and our final solution achieves the highest recall and F0.5.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11108 LNAI, pp. 341–350). Springer Verlag. https://doi.org/10.1007/978-3-319-99495-6_29
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