An improved error model for noisy channel spelling correction

  • Authors:
  • Eric Brill;Robert C. Moore

  • Affiliations:
  • Microsoft Research, Redmond, Wa.;Microsoft Research, Redmond, Wa.

  • Venue:
  • ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2000

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Abstract

The noisy channel model has been applied to a wide range of problems, including spelling correction. These models consist of two components: a source model and a channel model. Very little research has gone into improving the channel model for spelling correction. This paper describes a new channel model for spelling correction, based on generic string to string edits. Using this model gives significant performance improvements compared to previously proposed models.