This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
Mark D. Kernighan, Kenneth Ward Church, William A....
We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
We present a method for detecting and correcting multiple real-word spelling errors using the Google Web 1T 3-gram data set and a normalized and modified version of the Longest Co...
Abstract. We report on the design of a system for correcting spelling errors resulting in non-existent words. The system aims at improving edition of medical reports. Unlike tradit...