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

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

電機工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

19 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
頁面	27-29
頁數	3
出版狀態	已出版 - 2013
事件	21st International Conference on Computers in Education, ICCE 2013 - Bali, Indonesia 持續時間: 18 11月 2013 → 22 11月 2013

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	21st International Conference on Computers in Education, ICCE 2013
國家/地區	Indonesia
城市	Bali
期間	18/11/13 → 22/11/13

引用此

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title = "Linguistic rules based Chinese error detection for second language learning",

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.",

keywords = "Computer education, Computer-aided language learning, Second language learning",

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T1 - Linguistic rules based Chinese error detection for second language learning

AU - Lee, Lung Hao

AU - Chang, Li Ping

AU - Lee, Kuei Ching

AU - Tseng, Yuen Hsien

AU - Chen, Hsin Hsi

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Computer education

KW - Computer-aided language learning

KW - Second language learning

UR - http://www.scopus.com/inward/record.url?scp=84896478219&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:84896478219

SP - 27

EP - 29

T2 - 21st International Conference on Computers in Education, ICCE 2013

Y2 - 18 November 2013 through 22 November 2013

ER -

Linguistic rules based Chinese error detection for second language learning

摘要

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指紋

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