An Improved Error Model for Noisy Channel Spelling Correction

@inproceedings{Brill2000AnIE,
  title={An Improved Error Model for Noisy Channel Spelling Correction},
  author={Eric Brill and Robert C. Moore},
  booktitle={ACL},
  year={2000}
}
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. 
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Probability Scoring for Spelling Correction.

  • K. Church, W. Gale
  • Statistics and Computing
  • 1991
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A note on undetected typing errors.

  • J. Peterson
  • Communications of the ACM
  • 1986
1 Excerpt

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