Fast text searching: allowing errors
Communications of the ACM
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
A technique for computer detection and correction of spelling errors
Communications of the ACM
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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.