
	Journal of Applied Sciences
	Year: 2012 \| Volume: 12 \| Issue: 8 \| Page No.: 781-786 DOI: 10.3923/jas.2012.781.786

Translation of Classical Arabic Language to English

Mohd Juzaiddin Ab Aziz and Amna Mansur Hendr

Abstract: Machine Translation (MT) is the application of computers that translates texts from one natural language (source language) to another (target language). The past research dealt with problems mostly related to translating modern Arabic into English. This system is considered as the first of its kind to address the problem of translating classical Arabic into English where it involves cultures knowledge of the two languages. The work is a rule-based machine translation system and consists of three main modules, i.e., analysis, transfer and generation modules. In the transfer module phase, this research has developed and extracted the logical structure from Arabic and English to synchronize the sentences at lower level such as phrases. The generation module then combines the words and phrases to decide the appropriate meaning of them based on the situation of the sentences. A prototype was developed to prove the translation techniques that have been discovered. The performance of the system has been evaluated by comparing it with human translation. The accuracy of the results is 83.5%. These results proved the viability of this approach for Arabic-English machine translation.

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How to cite this article:

Mohd Juzaiddin Ab Aziz and Amna Mansur Hendr, 2012. Translation of Classical Arabic Language to English. Journal of Applied Sciences, 12: 781-786.

DOI: 10.3923/jas.2012.781.786

URL: https://scialert.net/abstract/?doi=jas.2012.781.786

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