Pronunciation Modeling for Improved Spelling Correction

This paper presents a method for incorporating word pronunciation information in a noisy channel model for spelling correction. The proposed method builds an explicit error model for word pronunciations. By modeling pronunciation similarities between words we achieve a substantial performance improvement over the previous best performing models for spelling correction.

spell-correct-acl02.pdf
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Publisher  Association for Computational Linguistics
All copyrights reserved by ACL 2002.

Details

TypeInproceedings
URLhttp://www.aclweb.org/
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