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An evaluation of a method to detect and correct erroneous characters in Japanese input through an OCR using Markov models

Published: 13 October 1994 Publication History

Abstract

The "Selective Error Correction Method" to judge these three types of errors, and correct them, using m-th order Markov chain model for Japanese 'kanji-kana' characters, has been proposed and shown to be useful to detect and correct errors generated randomly (Araki et al., 1994).In this paper, this method is applied to detect and correct erroneous characters in Japanese text input through an OCR. The method is confirmed to be also effective to detect and correct the errors introduced by the OCR.

Reference

[1]
T. Araki, S. Ikehara and N. Tukahara. 1994. An Evaluation to Detect and Correct Erroneous Characters Wrongly Substituted, Deleted and Inserted Japanese and English Sentences Using Markov Models. COLING 94, Vol. 1, pp. 187--193.

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  • (1999)Detection and correction of mutually interfered erroneous characters in Japanese textsProceedings of the 1999 ACM symposium on Applied computing10.1145/298151.298178(36-40)Online publication date: 28-Feb-1999

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ANLC '94: Proceedings of the fourth conference on Applied natural language processing
October 1994
226 pages

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  • ACL: Association for Computational Linguistics
  • Gesellschaft ffir Informatik

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Association for Computational Linguistics

United States

Publication History

Published: 13 October 1994

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  • (1999)Detection and correction of mutually interfered erroneous characters in Japanese textsProceedings of the 1999 ACM symposium on Applied computing10.1145/298151.298178(36-40)Online publication date: 28-Feb-1999

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