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    题名: Visually and phonologically similar characters in incorrect Chinese words: Analyses, identification, and applications
    作者: Liu, Chao-Lin
    Lai, Min-Hua
    Chuang, Yi-Hsuan
    Lee, Chia-Ying
    劉昭麟
    贡献者: 政大資訊科學系
    关键词: Error analysis of written Chinese text;student modeling;traditional Chinese;simplified Chinese;computer-assisted language learning;psycholinguistics
    日期: 2011-06
    上传时间: 2012-11-02 15:31:03 (UTC+8)
    摘要: 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.
    關聯: ACM Transactions on Asian Language Information Processing, 10(2), 1-39
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1145/1967293.1967297
    DOI: 10.1145/1967293.1967297
    显示于类别:[資訊科學系] 期刊論文

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