Myanmar Words Spelling Checking Using Levenshtein Distance Algorithm

Abstract

Natural Language Processing (NLP) is one of the most important research area carried out in the world of Artificial Intelligence (AI). Spelling Checking, Machine Translation, Automatic Text Summarization, Information Extraction and Automatic Text Categorization Information Retrieval are included in NLP. A Myanmar Spelling Checker is an essential component of many of the common desktop applications such word processors as well as the more exotic applications. In this system, it proposes the process of checking the spelling of a Myanmar input word and suggestion list if it is misspelled Myanmar word. This system is intended to develop a Myanmar Language Spell Checker (or spell check) by using Levenshtein Distance Algorithm. Moreover, Dynamic Threshold Algorithm and Transformation Algorithm are used in Myanmar Spelling Checking. This system uses Zawgyi Myanmar Font and implements using Java Language and MySQL Server. This thesis intends to check the spelling for Animals and Plants, and add correct Myanmar words to the Dictionary. Each Myanmar input word is compared against a dictionary of correctly spelt Myanmar words. This system improves the quality of suggestions for missed spelt Myanmar words.