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A novel binary spell checker

Hodge, V.J. and Austin, J. (2001) A novel binary spell checker. In: Dorffner, G., Bischof, H. and Hornik, K., (eds.) 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.
Institution: The University of York
Academic Units: The University of York > Computer Science (York)
Depositing User: Sherpa Assistant
Date Deposited: 11 Nov 2005
Last Modified: 15 Oct 2014 18:04
Status: Published
Publisher: Springer-verlag
Refereed: No
URI: http://eprints.whiterose.ac.uk/id/eprint/775

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