Myanmar Word Segmentation Using Hybrid Approach

Word segmentation is a basic task and animportant problem in natural language processing. InMyanmar text, words composed of single or multiplesyllables are usually not separated by white space.Word segmentation to determine the boundaries ofwords for languages without word separators inorthography is a basic task in natural languageprocessing. This system uses a 2-step longest matchingapproach. The first step was syllable segmentation, inthe second was Hybrid Approach of left-to-rightsyllable maximum matching and hierarchicalexpectation maximization approach. This system is tobe able to use as a pre-processing tool in Myanmartext processing such as Machine Translation,Information Retrieval, Search Engine using Myanmarlanguage. The experiment result shows that 96% ofaccuracy in word segmentation