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A novel binary spell checker

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Publication details

Title of host publicationArtificial neural networks : ICANN 2001 : International Conference, Vienna, Austria, August 21-25, 2001 : proceedings
DatePublished - 2001
Pages1199-1204
Number of pages5
PublisherSpringer-verlag
Place of PublicationBerlin, Germany
Original languageEnglish
ISBN (Print)3540424865

Publication series

NameLecture Notes in Computer Science
PublisherSpringer-Verlag
Volume2130

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.

Bibliographical note

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.

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