Linguistic Rules Based Chinese Error Detection for Second Language Learning

Authors

  • Lung-Hao LEE Information Technology Center, National Taiwan Normal University, Taiwan Author
  • Li-Ping CHANG Mandarin Training Center, National Taiwan Normal University, Taiwan Author
  • Kuei-Ching LEE Information Technology Center, National Taiwan Normal University, Taiwan; Dept. of Computer Science and Information Engineering, National Taiwan University, Taiwan Author
  • Yuen-Hsien TSENG Information Technology Center, National Taiwan Normal University, Taiwan Author
  • Hsin-Hai CHEN Dept. of Computer Science and Information Engineering, National Taiwan University, Taiwan Author

Abstract

In this paper, we handcraft a set of linguistic rules with syntactic information to detect errors occurred in Chinese sentences written by SLL. Experimental results come the similar conclusions with well -known ALEK sy stem used by ETS for English Learning. Our developed Chinese sentence error detection system will be helpful for Chinese self -learners.

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Published

2013-11-05

Conference Proceedings Volume

2013: ICCE 2013: The 21st International Conference on Computers in Education

Section

Articles

How to Cite

Linguistic Rules Based Chinese Error Detection for Second Language Learning. (2013). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2924