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

13 Scopus citations

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
StatePublished - 2013
Event21st International Conference on Computers in Education, ICCE 2013 - Bali, Indonesia
Duration: 18 Nov 201322 Nov 2013

Conference

Conference21st International Conference on Computers in Education, ICCE 2013
Country/TerritoryIndonesia
CityBali
Period18/11/1322/11/13

Keywords

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

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