@inproceedings{fung-etal-2017-nlptea,
title = "{NLPTEA} 2017 Shared Task {--} {C}hinese Spelling Check",
author = "Fung, Gabriel and
Debosschere, Maxime and
Wang, Dingmin and
Li, Bo and
Zhu, Jia and
Wong, Kam-Fai",
editor = "Tseng, Yuen-Hsien and
Chen, Hsin-Hsi and
Lee, Lung-Hao and
Yu, Liang-Chih",
booktitle = "Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications ({NLPTEA} 2017)",
month = dec,
year = "2017",
address = "Taipei, Taiwan",
publisher = "Asian Federation of Natural Language Processing",
url = "https://aclanthology.org/W17-5905",
pages = "29--34",
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.",
}
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<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.</abstract>
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%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
Markdown (Informal)
[NLPTEA 2017 Shared Task – Chinese Spelling Check](https://aclanthology.org/W17-5905) (Fung et al., NLP-TEA 2017)
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.