Hodge, V.J. and Austin, J. (2001) A novel binary spell checker. In: Artificial neural networks : ICANN 2001 : International Conference, Vienna, Austria, August 21-25, 2001 : proceedings. Lecture Notes in Computer Science . Springer-verlag , Berlin, Germany , pp. 1199-1204. ISBN 3540424865
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Abstract
In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We evaluate our approach against several benchmark spell-checking algorithms for recall accuracy. Our proposed hybrid methodology has the joint highest top 10 recall rate of the techniques evaluated. The method has a high recall rate and low computational cost.
| Item Type: | Book Section |
|---|---|
| Copyright, Publisher and Additional Information: | Copyright © 2001 Springer-Verlag. This is an author produced version of a chapter published in Artificial neural networks : ICANN 2001 : International Conference, Vienna, Austria, August 21-25, 2001 : proceedings. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. |
| Academic Units: | The University of York > Computer Science (York) |
| Depositing User: | Sherpa Assistant |
| Date Deposited: | 11 Nov 2005 |
| Last Modified: | 19 Feb 2013 15:22 |
| Status: | Published |
| Publisher: | Springer-verlag |
| Refereed: | No |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/775 |
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