KNGED: A tool for grammatical error diagnosis of Chinese sentences

Tao Hsing Chang, Yao Ting Sung, Jia Fei Hong, Jen I. Chang

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

The main purpose of this paper is to propose a method that can automatically detect whether there are any grammatical errors as well as identify their error types. The framework of this method is based on a rule base to identify common grammatical errors. This rule base contains manually constructed rules and rules that are automatically machine generated. This paper further proposes algorithms which can apply these rules to determine whether a sentence is incorrect as well as what types of errors it belongs to. Experimental results show that the F1-measure of the proposed method is 0.64 and 0.30 on detection and identification, respectively.

原文英語
主出版物標題Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
編輯Thepchai Supnithi, Siu Cheung Kong, Ying-Tien Wu, Tomoko Kojiri, Chen-Chung Liu, Hiroaki Ogata, Akihiro Kashihara
發行者Asia-Pacific Society for Computers in Education
頁面48-55
頁數8
ISBN(電子)9784990801427
出版狀態已發佈 - 2014
事件22nd International Conference on Computers in Education, ICCE 2014 - Nara, 日本
持續時間: 2014 十一月 302014 十二月 4

出版系列

名字Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014

其他

其他22nd International Conference on Computers in Education, ICCE 2014
國家/地區日本
城市Nara
期間2014/11/302014/12/04

ASJC Scopus subject areas

  • 電腦科學應用
  • 人機介面
  • 教育

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