Igala Language Spell Checker

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.