UCSY's Research Repository

Myanmar Word Segmentation Using Hybrid Approach

Show simple item record

dc.contributor.author Myat, Khine Myint
dc.contributor.author Soe, Khin Mar
dc.date.accessioned 2019-10-15T17:25:00Z
dc.date.available 2019-10-15T17:25:00Z
dc.date.issued 2019-03
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2321
dc.description.abstract Word segmentation is a basic task and an important problem in natural language processing. In Myanmar text, words composed of single or multiple syllables are usually not separated by white space. Word segmentation to determine the boundaries of words for languages without word separators in orthography is a basic task in natural language processing. This system uses a 2-step longest matching approach. The first step was syllable segmentation, in the second was Hybrid Approach of left-to-right syllable maximum matching and hierarchical expectation maximization approach. This system is to be able to use as a pre-processing tool in Myanmar text processing such as Machine Translation, Information Retrieval, Search Engine using Myanmar language. The experiment result shows that 96% of accuracy in word segmentation. en_US
dc.language.iso en_US en_US
dc.publisher National Journal of Parallel and Soft Computing en_US
dc.relation.ispartofseries Vol-1, Issue-1;
dc.subject Machine Translation en_US
dc.subject Information Retrieval en_US
dc.subject Search Engine using Myanmar language en_US
dc.title Myanmar Word Segmentation Using Hybrid Approach en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


My Account