NLPTEA 2017 Shared Task – Chinese Spelling Check

Gabriel Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong


Abstract
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.
Anthology ID:
W17-5905
Volume:
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Venues:
NLP-TEA | WS
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
29–34
Language:
URL:
https://www.aclweb.org/anthology/W17-5905
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-5905.pdf