Capturing Errors in Written Chinese Words

A collection of 3208 reported errors of Chinese words were analyzed. Among which, 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 writings of middle school students were related to the pronunciations and 30% were related to the compositions of words. Experimental results show that using intuitive Web-based statistics helped us capture only about 75% of these errors. In a related task, the Web-based statistics are useful for recommending incorrect characters for composing test items for "incorrect character identification" tests about 93% of the time.

• Type: Journal
• Year: 2009
• Where: ACL
• Authors: Chao-Lin Liu, Kan-Wen Tien, Min-Hua Lai, Yi-Hsuan Chuang, Shih-Hung Wu
• Keywords: ACL 2009, Computational Linguistics, Incorrect Character, Incorrect Character Identification, Web-based Statistics