Presentation 2000/10/20
Improved method to detect erroneous characters of Japanese sentence using Markov chain model
Masanobu Satou, Tetsuo Araki, Masao Eiyo, Satoru Ikehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In optical character recognition and continuous speech recognition of a natural language, there are erroneous characters that have been wrongly substituted, inserted and deleted. We have previously proposed a method to detect and correct these erros using Markov chain model. In this paper, we propose a improved method to detect erroneous characters wrongly substituted or inserted characters using two threshold values of Markov chain probability, and to correct these erroneous characters using 2nd-order and 3rd-order Markov chain models. From the results of the experiments, it is concluded that this method is useful for detecting as well as correcting these erroneous characters.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) crroneous character strings / Markov chain model / error detection / error correction
Paper # NLC2000-22
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Committee NLC
Conference Date 2000/10/20(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improved method to detect erroneous characters of Japanese sentence using Markov chain model
Sub Title (in English)
Keyword(1) crroneous character strings
Keyword(2) Markov chain model
Keyword(3) error detection
Keyword(4) error correction
1st Author's Name Masanobu Satou
1st Author's Affiliation Faculty of Engineering, Fukui University()
2nd Author's Name Tetsuo Araki
2nd Author's Affiliation Faculty of Engineering, Fukui University
3rd Author's Name Masao Eiyo
3rd Author's Affiliation Faculty of Engineering, Fukui University
4th Author's Name Satoru Ikehara
4th Author's Affiliation Faculty of Engineering, Tottori University
Date 2000/10/20
Paper # NLC2000-22
Volume (vol) vol.100
Number (no) 401
Page pp.pp.-
#Pages 7
Date of Issue