adaptive correction of errors from recognized chinese ink texts based on context

	adaptive correction of errors from recognized chinese ink texts based on context
	Zhang Xi-Wen; Fu Yong-Gang; Zhang Kun
	2009
会议名称	2009 International Conference on Information Technology and Computer Science, ITCS 2009
会议录名称	Proceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
页码	314-320
会议日期	37462
会议地点	Kiev, Ukraine
收录类别	EI
出版地	United States
ISBN	9780769536880
部门归属	(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
摘要	Chinese 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.
关键词	Computational Linguistics Computer Science Error Detection Gesture Recognition Information Technology Query Languages
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8550
专题	人机交互技术与智能信息处理实验室
推荐引用方式 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.