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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/55171

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/55171

Title:	Visually and phonologically similar characters in incorrect Chinese words: Analyses, identification, and applications
Authors:	Liu, Chao-Lin Lai, Min-Hua Chuang, Yi-Hsuan Lee, Chia-Ying 劉昭麟
Contributors:	政大資訊科學系
Keywords:	Error analysis of written Chinese text;student modeling;traditional Chinese;simplified Chinese;computer-assisted language learning;psycholinguistics
Date:	2011-06
Issue Date:	2012-11-02 15:31:03 (UTC+8)
Abstract:	Visually and phonologically similar characters are major contributing factors for errors in Chinese text. By defining appropriate similarity measures that consider extended Cangjie codes, we can identify visually similar characters within a fraction of a second. Relying on the pronunciation information noted for individual characters in Chinese lexicons, we can compute a list of characters that are phonologically similar to a given character. We collected 621 incorrect Chinese words reported on the Internet, and analyzed the causes of these errors. 83% of these errors were related to phonological similarity, and 48% of them were related to visual similarity between the involved characters. Generating the lists of phonologically and visually similar characters, our programs were able to contain more than 90% of the incorrect characters in the reported errors.
Relation:	ACM Transactions on Asian Language Information Processing, 10(2), 1-39
Data Type:	article
DOI link:	http://dx.doi.org/10.1145/1967293.1967297
DOI:	10.1145/1967293.1967297
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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