Paper: An Improved Error Model For Noisy Channel Spelling Correction

ACL ID P00-1037
Title An Improved Error Model For Noisy Channel Spelling Correction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2000
Authors

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.