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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/39640

Title:	Phonological and logographic influences on errors in written Chinese words
Authors:	劉昭麟 Liu, Chao-Lin;Tien, Kan-Wen;Lai, Min-Hua;Chuang, Yi-Hsuan;Wu, Shih-Hung
Contributors:	ACL 資科系
Keywords:	algorithms;design;language acquisition;languages;modeling methodologies;natural language;processing performance;theory
Date:	2009-08
Issue Date:	2010-05-27 16:47:36 (UTC+8)
Abstract:	We analyze a collection of 3208 reported errors of Chinese words. Among these errors, 7.2% involved rarely used character, and 98.4% were assigned common classifications of their causes by human subjects. In particular, 80% of the errors observed in the writings of middle school students were related to the pronunciations and 30% were related to the logographs of the words. We conducted experiments that shed light on using the Web-based statistics to correct the errors, and we designed a software environment for preparing test items whose authors intentionally replace correct characters with wrong ones. Experimental results show that using Web-based statistics can help us correct only about 75% of these errors. In contrast, Web-based statistics are useful for recommending incorrect characters for composing test items for "incorrect character identification" tests about 93% of the time.
Relation:	Proceedings of the Seventh Workshop on Asian Language Resources, the Forty Seventh Annual Meeting of the Association for Computational Linguistics
Data Type:	conference
Appears in Collections:	[Department of Computer Science ] Proceedings

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