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

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

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 Jan 1
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
CountryIndonesia
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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