Paper: An Evaluation Of A Method To Detect And Correct Erroneous Characters In Japanese Input Through An OCR Using Markov Models

ACL ID A94-1039
Title An Evaluation Of A Method To Detect And Correct Erroneous Characters In Japanese Input Through An OCR Using Markov Models
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1994
Authors

The "Selective Error Correction Method" to judge these three types of errors, and correct them, using ra-th order Markov chain model for Japanese 'kanji-kana' char- acters, has been proposed and shown to be useful to detect and correct errors gener- ated 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 elfective to detect and correct the errors introduced by the OCR.