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Linguistic rules based Chinese error detection for second language learning

  • Lung Hao Lee
  • , Li Ping Chang
  • , Kuei Ching Lee
  • , Yuen Hsien Tseng*
  • , Hsin Hsi Chen
  • *Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

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 system used by ETS for English Learning. Our developed Chinese sentence error detection system will be helpful for Chinese self-learners.

Original languageEnglish
Pages27-29
Number of pages3
Publication statusPublished - 2013
Event21st International Conference on Computers in Education, ICCE 2013 - Bali, Indonesia
Duration: 2013 Nov 182013 Nov 22

Other

Other21st International Conference on Computers in Education, ICCE 2013
Country/TerritoryIndonesia
CityBali
Period2013/11/182013/11/22

Keywords

  • Computer education
  • Computer-aided language learning
  • Second language learning

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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