A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction
Abstract
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.
Cite
Text
Wang et al. "A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12173Markdown
[Wang et al. "A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/wang2018aaai-new/) doi:10.1609/AAAI.V32I1.12173BibTeX
@inproceedings{wang2018aaai-new,
title = {{A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction}},
author = {Wang, Dingmin and Fung, Gabriel Pui Cheong and Debosschere, Maxime and Dong, Shichao and Zhu, Jia and Wong, Kam-Fai},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2018},
pages = {8169-8170},
doi = {10.1609/AAAI.V32I1.12173},
url = {https://mlanthology.org/aaai/2018/wang2018aaai-new/}
}