Linguistic rules based Chinese error detection for second language learning
Journal
21st International Conference on Computers in Education
Pages
27-29
Date Issued
2013
Author(s)
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.
Subjects
Computer education
Computer-aided language learning
Second language learning
Type
conference paper