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- W1607582004 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." @default.
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- W1607582004 date "2001-01-01" @default.
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- W1607582004 title "A Novel Binary Spell Checker" @default.
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- W1607582004 doi "https://doi.org/10.1007/3-540-44668-0_167" @default.
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