KNGED: a Tool for Grammatical Error Diagnosis of Chinese Sentences

Authors

  • Tao-Hsing CHANG Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Taiwan Author
  • Yao-Ting SUNG Department of Educational Psychology and Counseling, National Taiwan Normal University, Taiwan Author
  • Jia-Fei HONG Department of Applied Chinese Language and Culture, National Taiwan Normal University, Taiwan Author
  • Jen-I CHANG Department of Educational Psychology and Counseling, National Taiwan Normal University, Taiwan Author

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

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Published

2014-11-30

Conference Proceedings Volume

2014: ICCE 2014: The 22nd International Conference on Computers in Education

Section

Articles

How to Cite

KNGED: a Tool for Grammatical Error Diagnosis of Chinese Sentences. (2014). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3069