eprintid: 827
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/08/27
datestamp: 2023-11-09 15:48:58
lastmod: 2023-11-09 15:48:58
status_changed: 2023-11-09 15:38:34
type: conference_item
metadata_visibility: show
creators_name: Zamin, N.
creators_name: Ghani, A.
title: A hybrid approach for malay text summarizer
ispublished: pub
keywords: Decision making process; Digital information; Electronic document; Malay texts; NAtural language processing; Statistical approach; Text mining; Text summarization, Data mining; Natural language processing systems, Text processing
note: cited By 8; Conference of 3rd International Multi-Conference on Engineering and Technological Innovation, IMETI 2010 ; Conference Date: 29 June 2010 Through 2 July 2010; Conference Code:101526
abstract: Summarization is the art of generating the main points of a lengthy text document by removing redundant and less important information without losing the meaning of the original text. Summaries are significantly shorter than the original text and take a broad overview of the source material. With the increasing volume of digital information today, people find the manual process of summarization as hectic and time consuming. Having an automated text summarization system for electronic documents would very much help to encourage people to read, giving quick access to information thus helping them to a faster decision making process. Although many research and commercial text summarization tools are available but no research is officially reported for Malay language. Malay text summarizers are coming into demand when a lot of information in Malay language can now be accessed freely via the Internet. This paper presents a hybrid approach to an automated text summarization system for Malay language. The base system is built on SUMMARIST system and is expanded by combining with EstSum system. Experimental results show that expanding training data size significantly contributes to the performance. In general, our system produced acceptable results at the best case of 76 and the worst case of 31 .
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890841101&partnerID=40&md5=9421cba6905a75dd5c50ffe56b05c3dd
full_text_status: none
publication: IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings
volume: 1
place_of_pub: Orlando, FL
pagerange: 6-11
refereed: TRUE
isbn: 9781936338023
citation:   Zamin, N. and Ghani, A.  (2010) A hybrid approach for malay text summarizer.  In: UNSPECIFIED.