%0 Conference Proceedings %T NLPTEA 2017 Shared Task – Chinese Spelling Check %A Fung, Gabriel %A Debosschere, Maxime %A Wang, Dingmin %A Li, Bo %A Zhu, Jia %A Wong, Kam-Fai %Y Tseng, Yuen-Hsien %Y Chen, Hsin-Hsi %Y Lee, Lung-Hao %Y Yu, Liang-Chih %S Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017) %D 2017 %8 December %I Asian Federation of Natural Language Processing %C Taipei, Taiwan %F fung-etal-2017-nlptea %X This paper provides an overview along with our findings of the Chinese Spelling Check shared task at NLPTEA 2017. The goal of this task is to develop a computer-assisted system to automatically diagnose typing errors in traditional Chinese sentences written by students. We defined six types of errors which belong to two categories. Given a sentence, the system should detect where the errors are, and for each detected error determine its type and provide correction suggestions. We designed, constructed, and released a benchmark dataset for this task. %U https://aclanthology.org/W17-5905 %P 29-34