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
- Editors:
- Yuen-Hsien Tseng, Hsin-Hsi Chen, Lung-Hao Lee, Liang-Chih Yu
- Venue:
- NLP-TEA
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 29–34
- Language:
- URL:
- https://aclanthology.org/W17-5905
- DOI:
- Cite (ACL):
- Gabriel Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, and Kam-Fai Wong. 2017. NLPTEA 2017 Shared Task – Chinese Spelling Check. In Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017), pages 29–34, Taipei, Taiwan. Asian Federation of Natural Language Processing.
- Cite (Informal):
- NLPTEA 2017 Shared Task – Chinese Spelling Check (Fung et al., NLP-TEA 2017)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W17-5905.pdf