Despite the vast amount of research related to Chinese typo detection, we still lack a publicly available benchmark dataset for evaluation. Furthermore, no precise evaluation schema for Chinese typo detection has been defined. In response to these problems: (1) we release a benchmark dataset to assist research on Chinese typo correction; (2) we present an evaluation schema which was adopted in our NLPTEA 2017 Shared Task on Chinese Spelling Check; and (3) we report new improvements to our Chinese typo detection system ACT.
CITATION STYLE
Wang, D., Cheong Fung, G. P., Debosschere, M., Dong, S., Zhu, J., & Wong, K. F. (2018). A new benchmark and evaluation schema for Chinese typo detection and correction ∗. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 8169–8170). AAAI press. https://doi.org/10.1609/aaai.v32i1.12173
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