publication . Part of book or chapter of book . 2001

A Novel Binary Spell Checker

Hodge, V.J.; Austin, J.;
Open Access
  • Published: 01 Jan 2001
  • Publisher: Springer Berlin Heidelberg
  • Country: United Kingdom
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.
Subjects
free text keywords: Recall, Phonetics, Pattern recognition, Hamming distance, Associative property, Supervised learning, Binary number, Machine learning, computer.software_genre, computer, Lexicon, Artificial intelligence, business.industry, business, Computer science, Spell
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Part of book or chapter of book . 2001
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