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.
