ISCAS OpenIR  > 人机交互技术与智能信息处理实验室
adaptive correction of errors from recognized chinese ink texts based on context
Zhang Xi-Wen; Fu Yong-Gang; Zhang Kun
2009
Conference Name2009 International Conference on Information Technology and Computer Science, ITCS 2009
SourceProceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
Pages314-320
Conference Date37462
Conference PlaceKiev, Ukraine
Indexed TypeEI
Publish PlaceUnited States
ISBN9780769536880
Department(1) Digital Media Laboratory, College of Information Sciences, Beijing Language and Culture University, Beijing, China; (2) Laboratory of Human-Computer Interaction Institute of Software, Chinese Academy of Sciences, Beijing, China
English AbstractChinese ink texts can not be converted into encoded texts until their writing characters are correctly recognized. There are many errors in recognized Chinese ink texts even importing language models because Chinese ink texts are free forms and mixed with other languages, as well as their Chinese characters have a large set and complex structures. Recognized writing characters may contain wrong language types, symbols, words, and word pairs. A direct selection and input approach based on context is proposed to adaptively correct theses errors. Each writing characters recognition candidates are fully visualized. Users can naturally and easily correct recognition errors with direct operations. Users intensions are identified from users gestures and objects invoked by them. Recognized Chinese ink texts can provide multi-levels of information after correction. We have conducted experiments using real-life Chinese ink texts and compared the proposed approach with others. Experimental results demonstrate that the proposed approach is effective and robust. © 2009 IEEE.
KeywordComputational Linguistics Computer Science Error Detection Gesture Recognition Information Technology Query Languages
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8550
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
Zhang Xi-Wen,Fu Yong-Gang,Zhang Kun. adaptive correction of errors from recognized chinese ink texts based on context[C]. United States,2009:314-320.
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