Resolving the unencoded character problem for chinese digital libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Using structural information for identifying similar Chinese characters
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Phonological and logographic influences on errors in written Chinese words
ALR7 Proceedings of the 7th Workshop on Asian Language Resources
Visually and phonologically similar characters in incorrect simplified Chinese words
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
ACM Transactions on Asian Language Information Processing (TALIP)
A cognition-based interactive game platform for learning Chinese characters
Proceedings of the 2011 ACM Symposium on Applied Computing
Why press backspace?: understanding user input behaviors in Chinese Pinyin input method
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
ACM Transactions on Asian Language Information Processing (TALIP)
| Hi-index | 0.01 |
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.