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A logical framework for the correction of spelling errors in electronic documents
Affiliation:1. Corrosion and Protection Center, Key Laboratory for Corrosion and Protection (MOE), University of Science and Technology Beijing, Beijing, 100083, China;2. Department of Chemistry and Surface Science Western, Western University, London, Ontario, N6A 5B7, Canada;1. Digestive Diseases and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA;2. Family Medicine, Mercy Health, Toledo, OH, USA;1. Department of Physics, Faculty of Science, Atatürk University, 25240 Erzurum, Turkey;2. Department of Chemistry, Faculty of Science, Atatürk University, 25240 Erzurum, Turkey;3. Department of Environmental Engineering, Faculty of Engineering, Ardahan University, Ardahan, Turkey;4. Necmettin Erbakan University, Science Faculty, Biotechnology Department, Konya, Turkey;1. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China;2. Renewable Energy Research Group (RERG) Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Abstract:We propose a method for the correction of spelling errors found in electronic documents which is derived from a logical analysis of the problem. Specifically, set-theoretical definitions are given for similarity relations which describe certain properties which character strings may have in common. These definitions are then directly encoded into a PROLOG program. The advantages and disadvantages of this method are discussed, and some suggestions for further research are made. A detailed literature review is offered in order to place this method in perspective.
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