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.
Also, REF apply a noisy channel model, based on generic string to string edits, to spelling correction.
An Improved Error Model For Noisy Channel Spelling Correction
Annual Meeting Of The Association For Computational Linguistics
Computer Science