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

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Advances in Multimodal Interfaces — ICMI 2000 (ICMI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1948))

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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)

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Shanxi University, 030006, Taiyuan, Shanxi Province, China

    Yangsen Zhang

Authors
  1. Yangsen Zhang
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Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, P.O.Box 2728, 100080, Beijing, China

    Tieniu Tan

  2. Computer Department, Media Laboratory, Tsinghua University, 100084, Beijing, China

    Yuanchun Shi

  3. Institute of Computing Technology, Chinese Academy of Sciences, P.O.Box 2704, 100080, Beijing, China

    Wen Gao

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© 2000 Springer-Verlag Berlin Heidelberg

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Zhang, Y. (2000). Automatic Lexical Errors Detecting of Chinese Texts Based on the Orderly-Neighborship1 . In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_36

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  • DOI: https://doi.org/10.1007/3-540-40063-X_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41180-2

  • Online ISBN: 978-3-540-40063-9

  • eBook Packages: Springer Book Archive

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