Igala Language Spell Checker
Sani Felix Ayegba *
Department of Computer Science, Federal Polytechnic Idah, Kogi State, Nigeria
Musa Ugbedeojo
Department of Computer Science, Federal Polytechnic Idah, Kogi State, Nigeria
Benson-Iyare Jessica Chinezie
Department of Computer Science, Federal Polytechnic Idah, Kogi State, Nigeria
Onoja Abu
Department of Mathematics and Statistics, Federal Polytechnic Idah, Kogi State, Nigeria
*Author to whom correspondence should be addressed.
Abstract
Spell checkers are important components of Natural language processing applications such as office automation systems, machine translation systems and other similar tools. In this paper, we modeled a language processor for Igala which can detect and correct non word or typographic errors. Lexicon look up approach was adopted for determining validity of words while a variant of similarity key technique based on number of common characters was used to generate the list of correct alternatives for misspelled words. Test and evaluation results of the system indicated that it can handle various types of Igala language spelling errors.
Keywords: Spell checker, natural language processing, Igala language, non-word errors, typographic errors, similarity key technique, office automation systems, machine translation systems