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Natural Language Processing (NLP) is one of the most important research areas carried out in the world of Human language. For every language, spell checker is an essential component of many of the common Desktop applications, Machine Translation system and Office Automation system. In Myanmar, Myanmar Language is used as an official language. Myanmar Pronunciation and orthography has differences because spelling is often not an accurate reflection of pronunciation. In this paper, we developed Myanmar Spell Checker which can handle Typographic Errors (Non-word Errors), Phonetic Errors and Sequence Errors of Myanmar words. If misspelled word contains in the input sentence, this system can provide suggestion for misspelled Myanmar words. We apply Myanmar text Corpus to check Myanmar words. And then we used String Cosine Similarity to generate suggestions list for mistyped Myanmar words. The system can improve the quality of suggestion for misspelled Myanmar words and users' efficiency when the users cannot figure out the correct spelling by themselves.
Date of Conference: 13-15 March 2012