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  1. University of Computer Studies, Yangon
  2. Conferences

Automatic Myanmar Text Summarization System

http://hdl.handle.net/20.500.12678/0000003833
http://hdl.handle.net/20.500.12678/0000003833
569ba0c4-e853-4ab8-945e-eed8f192a9a6
a0fc0536-776c-4a85-b4e3-068f5a11b10d
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Publication
Title
Title Automatic Myanmar Text Summarization System
Language en
Publication date 2014-02-17
Authors
Soe, Khin Mar
Htay, Hla Hla
Kyaw, Win Thuzar
Description
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.
Keywords
Automatic Text Summarization, Conditional Random Fields
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/156
Journal articles
Twelfth International Conference On Computer Applications (ICCA 2014)
Conference papers
Books/reports/chapters
Thesis/dissertations
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