eprintid: 6725
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/67/25
datestamp: 2023-11-09 16:18:31
lastmod: 2023-11-09 16:18:31
status_changed: 2023-11-09 16:07:30
type: conference_item
metadata_visibility: show
creators_name: Sazali, S.S.
creators_name: Bakar, Z.A.
creators_name: Jaafar, J.
title: Word prediction algorithm in resolving ambiguity in Malay text
ispublished: pub
keywords: Aluminum; Translation (languages), Al-quran; Ambiguous word; Bigram; Hadith; Malay texts; N-grams; Tri grams; Word prediction, Forecasting
note: cited By 4; Conference of 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016 ; Conference Date: 16 March 2016 Through 18 March 2016; Conference Code:124533
abstract: Word prediction algorithms are widely used in aiding disables by recommending the next potential word to be used. In this paper, the word prediction algorithm, n-gram, is used to resolve ambiguity in Malay text to retrieve relevant information. The test collection consists of Malay translated Al-Quran and Hadith. Initial experiment is conducted using the keyword madu that retrieved 72 Hadiths and 3 translated Al-Quran documents. Experiments are conducted on these retrieved documents using bigram and trigram. Result shows that trigram gives better prediction and retrieved relevant documents compared to the bigram. © 2016 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997498658&partnerID=40&md5=7e36be5eccbc4c213dcb468db7ee1f63
full_text_status: none
publication: Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016
pagerange: 1347-1352
refereed: TRUE
isbn: 9789380544199
citation:   Sazali, S.S. and Bakar, Z.A. and Jaafar, J.  (2016) Word prediction algorithm in resolving ambiguity in Malay text.  In: UNSPECIFIED.