eprintid: 9736
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/97/36
datestamp: 2023-11-09 16:36:23
lastmod: 2023-11-09 16:36:23
status_changed: 2023-11-09 16:29:42
type: conference_item
metadata_visibility: show
creators_name: Mandita, F.
creators_name: Abdullah, H.M.
creators_name: Anwar, T.
creators_name: Assawinjaiptech, P.
title: A novel algorithm for a grammar model checking using statistical Markov model
ispublished: pub
keywords: Computational linguistics; Markov processes, Markov model; pola grammar; PoS taggers; Rule based algorithms; Sign language, Model checking
note: cited By 1; Conference of 7th ICT International Student Project Conference, ICT-ISPC 2018 ; Conference Date: 11 July 2018 Through 13 July 2018; Conference Code:142170
abstract: The sign language research area shows many significant results in recent years. Mostly, the research of sign language is built for signer independent are focuses in sign and video corpus. Rarely, the research discusses about 'pola' grammar of sign language. The purpose of this paper is to contribute the topic of 'pola' grammar for sign language. The 'pola' grammar is used with a rule based algorithm and a Markov model and rule based. The model is used to validate the Malay sign language. The input of words and sentences of Malay sign language are taken from books, newspapers, and magazines by users either in form of single words or a paragraph of sentences. Training and testing words and sentences to check the 'pola' grammar of Malay sign language is implemented to gain the results of experiences. Simple sentences and complex sentences of Malay sign language are designed for a test case. The comparison of two models between rule based algorithm and a Markov model and rule based has been investigation based on the accuracy of tagset of Malay sign language. The accuracy of a Markov model and rule based shown a better result than rule based algorithm when used to check simple and complete sentences of Malay sign language. © 2018 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058189904&doi=10.1109%2fICT-ISPC.2018.8523954&partnerID=40&md5=677dfa182cd7af7d8c6d1d42060b4491
id_number: 10.1109/ICT-ISPC.2018.8523954
full_text_status: none
publication: Proceeding of 2018 7th ICT International Student Project Conference, ICT-ISPC 2018
refereed: TRUE
isbn: 9781538678053
citation:   Mandita, F. and Abdullah, H.M. and Anwar, T. and Assawinjaiptech, P.  (2018) A novel algorithm for a grammar model checking using statistical Markov model.  In: UNSPECIFIED.