Design of prototype expert system for transliterating Arabic-to-Roman words

Transliteration of Arabic words into their equivalent Roman words is vital for the proper pronunciation of the origin words. Traditionally, it has been done manually through the use of language interpreter/linguists. Presenting written Arabic words and vowelising each letter can be a difficult task,...

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Main Authors:	Ayob, M. Z., Ismail, Ahmad Faris
Format:	Conference or Workshop Item
Language:	English
Published:	2006
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/36845/ http://irep.iium.edu.my/36845/ http://irep.iium.edu.my/36845/1/Scored2006.pdf

id	iium-36845
recordtype	eprints
spelling	iium-368452014-06-06T05:29:33Z http://irep.iium.edu.my/36845/ Design of prototype expert system for transliterating Arabic-to-Roman words Ayob, M. Z. Ismail, Ahmad Faris TK7885 Computer engineering Transliteration of Arabic words into their equivalent Roman words is vital for the proper pronunciation of the origin words. Traditionally, it has been done manually through the use of language interpreter/linguists. Presenting written Arabic words and vowelising each letter can be a difficult task, especially for beginners to the Arabic language. Hence, the use of rule-based system as a practical realization of expert system has been attempted to reduce some vowelisation problems. Coding has been done using Visual Basic through 'if-else' code sequences. A data set comprising of coded Arabic letter representations has been used as input. Character code mappings between the 8-bit Arabic character codes and the more 'conventional' 7-bit ASCII have been performed. The problem of rendering Arabic letters has been solved via the use of WinXP Arabic as the platform for the VB program. Next, transliteration rules are compiled and used as reference guide to avoid ambiguous Arabic-Roman transliteration. Simulation results showed 93.75% accuracy on training binary input patterns of Arabic words to match their Roman equivalents. The results explain that knowledge can be extracted in the form of numerical data set representing salient features of the transliteration domain. The extracted knowledge can be further utilised to form the knowledge base of a future expert system section. 2006 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/36845/1/Scored2006.pdf Ayob, M. Z. and Ismail, Ahmad Faris (2006) Design of prototype expert system for transliterating Arabic-to-Roman words. In: 4th Student Conference on Research and Development 2006 (ScoreD2006), 27-28 June 2006, Shah Alam, Selangor. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4339320
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Ayob, M. Z. Ismail, Ahmad Faris Design of prototype expert system for transliterating Arabic-to-Roman words
description	Transliteration of Arabic words into their equivalent Roman words is vital for the proper pronunciation of the origin words. Traditionally, it has been done manually through the use of language interpreter/linguists. Presenting written Arabic words and vowelising each letter can be a difficult task, especially for beginners to the Arabic language. Hence, the use of rule-based system as a practical realization of expert system has been attempted to reduce some vowelisation problems. Coding has been done using Visual Basic through 'if-else' code sequences. A data set comprising of coded Arabic letter representations has been used as input. Character code mappings between the 8-bit Arabic character codes and the more 'conventional' 7-bit ASCII have been performed. The problem of rendering Arabic letters has been solved via the use of WinXP Arabic as the platform for the VB program. Next, transliteration rules are compiled and used as reference guide to avoid ambiguous Arabic-Roman transliteration. Simulation results showed 93.75% accuracy on training binary input patterns of Arabic words to match their Roman equivalents. The results explain that knowledge can be extracted in the form of numerical data set representing salient features of the transliteration domain. The extracted knowledge can be further utilised to form the knowledge base of a future expert system section.
format	Conference or Workshop Item
author	Ayob, M. Z. Ismail, Ahmad Faris
author_facet	Ayob, M. Z. Ismail, Ahmad Faris
author_sort	Ayob, M. Z.
title	Design of prototype expert system for transliterating Arabic-to-Roman words
title_short	Design of prototype expert system for transliterating Arabic-to-Roman words
title_full	Design of prototype expert system for transliterating Arabic-to-Roman words
title_fullStr	Design of prototype expert system for transliterating Arabic-to-Roman words
title_full_unstemmed	Design of prototype expert system for transliterating Arabic-to-Roman words
title_sort	design of prototype expert system for transliterating arabic-to-roman words
publishDate	2006
url	http://irep.iium.edu.my/36845/ http://irep.iium.edu.my/36845/ http://irep.iium.edu.my/36845/1/Scored2006.pdf
first_indexed	2023-09-18T20:52:50Z
last_indexed	2023-09-18T20:52:50Z
_version_	1777410108821602304

Design of prototype expert system for transliterating Arabic-to-Roman words

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