Pronunciation modeling for improved spelling correction

  • Authors:
  • Kristina Toutanova;Robert C. Moore

  • Affiliations:
  • Stanford University, Stanford, CA;Microsoft Research, One Microsoft Way, Redmond, WA

  • Venue:
  • ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2002

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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.