An Improved Error Model for Noisy Channel Spelling Correction

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.

acl2000_spell.ps
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In  Proceedings of ACL 2000

Publisher  Association for Computational Linguistics
All copyrights reserved by ACL 2000

Details

TypeInproceedings
URLhttp://www.aclweb.org/
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