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Automatic Lexical Errors Detecting of Chinese Texts Based on the Orderly-Neighborship1

Yangsen ZhangContact Information

(7)  Dept. of Computer Science, Shanxi University, 030006 Taiyuan, Shanxi Province, China
Abstract
According to the statistic analysis of common errors found in those texts that are typed-in, OCR-recognized or phonetics-recognized but not be proofread and the characteristics of such texts,we propose a error-detecting principle and error-detecting algorithm based on the orderly-neighborship. Furthermore, Factors that affect performance index of error-detecting system such as recall ratio and accurate ratio are discussed.
Shanxi Province Natural Science Fund Item (981031)

Contact Information Yangsen Zhang
Email: Zhangys@sxu.edu.cn
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