An improved error model for noisy channel spelling correction

被引：200
|
作者：
Brill, E [1 ]
Moore, RC [1 ]
机构：
[1] Microsoft Res, Redmond, WA 98052 USA
来源：
38TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2000年
关键词：
D O I：
10.3115/1075218.1075255
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：286 / 293
页数：8
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