@inproceedings{c462be1f43a748eeb6ab79375e045a22,
title = "KNGED: A tool for grammatical error diagnosis of Chinese sentences",
abstract = "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.",
keywords = "Automatic diagnosis, CFL, Chinese grammar, Grammatical error, KNGED, Rule-based method",
author = "Chang, {Tao Hsing} and Sung, {Yao Ting} and Hong, {Jia Fei} and Chang, {Jen I.}",
year = "2014",
language = "English",
series = "Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "48--55",
editor = "Thepchai Supnithi and Kong, {Siu Cheung} and Ying-Tien Wu and Tomoko Kojiri and Chen-Chung Liu and Hiroaki Ogata and Akihiro Kashihara",
booktitle = "Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014",
note = "22nd International Conference on Computers in Education, ICCE 2014 ; Conference date: 30-11-2014 Through 04-12-2014",
}