Pronunciation modeling for improved spelling correction
Kristina Toutanovaa b, Robert C. Moorec
- aStanford University, Stanford, CA
- bStanford University Stanford CA
- cMicrosoft Research, One Microsoft Way, Redmond, WA
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Abstract
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.
TL;DRThe proposed method builds an explicit error model for word pronunciations by modeling pronunciation similarities between words and achieves a substantial performance improvement over the previous best performing models for spelling correction. (Semantic Scholar)