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題名 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
貢獻者 政大資訊科學系
關鍵詞 Error analysis of written Chinese text; student modeling; traditional Chinese; simplified Chinese; computer-assisted language learning; psycholinguistics
日期 2011-06
上傳時間 2-Nov-2012 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
資料類型 article
DOI http://dx.doi.org/10.1145/1967293.1967297
dc.contributor 政大資訊科學系en
dc.creator (作者) Liu, Chao-Linen
dc.creator (作者) Lai, Min-Huaen
dc.creator (作者) Chuang, Yi-Hsuanen
dc.creator (作者) Lee, Chia-Yingen
dc.creator (作者) 劉昭麟zh_TW
dc.date (日期) 2011-06-
dc.date.accessioned 2-Nov-2012 15:31:03 (UTC+8)-
dc.date.available 2-Nov-2012 15:31:03 (UTC+8)-
dc.date.issued (上傳時間) 2-Nov-2012 15:31:03 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/55171-
dc.description.abstract (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.en
dc.format.extent 213300 bytes-
dc.format.mimetype application/pdf-
dc.language zh_TWen
dc.language.iso en_US-
dc.relation (關聯) ACM Transactions on Asian Language Information Processing, 10(2), 1-39en
dc.subject (關鍵詞) Error analysis of written Chinese text; student modeling; traditional Chinese; simplified Chinese; computer-assisted language learning; psycholinguistics-
dc.title (題名) Visually and phonologically similar characters in incorrect Chinese words: Analyses, identification, and applicationsen
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1145/1967293.1967297-
dc.doi.uri (DOI) http://dx.doi.org/10.1145/1967293.1967297-