Effectiveness of Our New Right-to-Left English Transcription on Arabic Learning Using the Reversed Image -Support in Arabic E-Learning System for the Beginners

Ahmed MOSA; Katsuhiko KAKEHI

Effectiveness of Our New Right-to-Left English Transcription on Arabic Learning Using the Reversed Image -Support in Arabic E-Learning System for the Beginners

Ahmed MOSA * §

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Katsuhiko KAKEHI

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Waseda University, Japan and Tanta University, Egypt

Effectiveness of Our New Right-to-Left English Transcription on Arabic Learning Using the Reversed Image -Support in Arabic E-Learning System for the Beginners

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Abstract

Arabic language differs from other languages in some features such as right-to-left writing, unfamiliar letters and sounds, using one of the letter’s forms depending on the letter’s position in a word, and attaching a diacritical mark to a letter to show how it is pronounced. It is important to provide a new transcription that follows Arabic direction and to help non-Arabic speakers to locate the letters corresponding to Arabic letters and their attached diacritical marks to read them. We invented a new transcription system for Arabic in which we transcribed every Arabic unit (an Arabic letter with an attached diacritical mark) by an English unit (an uppercase with a lowercase letter); we reversed the images of all English units horizontally. The new reversed transcription matches the direction of the Arabic writing. Our main aim is to apply this transcription in our new Arabic e-learning system as an on-demand support which let the learners read Arabic text itself at their own pace. This paper shows how our reversed image transcription works, especially for the beginners.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ahmed MOSA, Katsuhiko KAKEHI. 2015. "Effectiveness of Our New Right-to-Left English Transcription on Arabic Learning Using the Reversed Image -Support in Arabic E-Learning System for the Beginners". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H4).

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GJCST Volume 15 Issue H4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

K.3.1 I.2.6

Submission ReceivedDecember 8, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

October 19, 2015

Language

English

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Article Matrices

Total Score: 187

Country: Japan

Subject: Global Journal of Computer Science and Technology

Authors: Ahmed MOSA, Katsuhiko KAKEHI (PhD/Dr. count: 0)

View Count (all-time): 414

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