Hodge, V.J. and Austin, J. orcid.org/0000-0001-5762-8614 (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.
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.
|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:||06 Feb 2017 15:23|