2026-05-01T00:17:06Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3833 2022-03-24T23:16:10Z 1582963302567:1597824273898 user-ucsy

Automatic Myanmar Text Summarization System Soe, Khin Mar Htay, Hla Hla Kyaw, Win Thuzar Automatic text summarization is used as atool to help people in reducing the time spentmanually extracting the main ideas from textdocuments. If the natural disaster news isprovided as the summary form includingimportant and relevant information, people inmanagement level can make comparisons andintelligent decisions quickly without exhaustingenergy by manually extracting the salient points.Moreover, for a normal user, automaticsummary report of the disaster news makes themclear perception and fully awareness of theeffects of the natural disaster by inspecting deathtoll and damage of the natural hazards.Therefore, this paper proposes AutomaticMyanmar Text Summarization framework that isbased on Information Extraction and practicalimplementation of this framework insummarizing natural disaster news which are inseven types: Earthquake, Flood, Landslide,Forest Fire, Tornado, Storm and VolcanicEruption described in Myanmar Language. Thetwo main components of the proposedframework, Myanmar Word Segmentation modelbased on Conditional Random Fields (CRFs)and Information Extraction Model using CRFs approach are also introduced. 2014-02-17 http://hdl.handle.net/20.500.12678/0000003833 https://meral.edu.mm/records/3833