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A Rule-Based Algorithm for the Detection of Arud Meter in Classical Arabic Poetry
        
        Arud  is  the  science  of  poems used  in  Arabic,  Persian,  Urdu,  and  other  eastern  languages.  Determining  the Arud 
meter  of classical  Arabic poems  is  a  difficult  and tiresome task  for  those  who  study  poetry.  In  this  paper,  we  focus  on  the 
computerized analysis of Arabic Arud meter. We introduce an algorithm that is able to determine the correct Arud meter for a 
given Arabic poem  and  is  also  able  to convert  the  poem  into Arud  Writing. The  algorithm  is  based  on  a  set  of  well  defined 
rules applied  only  on  the  first  part  (sadr ردص)  of  the  poem  verse.  The  algorithm  consists  of  five  main  steps. The  preliminary 
tests  are  quite  satisfactory  and  the  algorithm gave high  accuracy.  The algorithm can  be  used in  systems  that  handle  Arabic 
poetry such as information retrieval systems or teaching Arabic poetry for students.    
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[30] Zwartjes O., Love Songs from Al-Andalus: History, Structure and Meaning of the Kharja, Brill, 1997. Asma Al-Omari, received the B.S. in Computer Science and Statistical Analysis Department at Kuwait University in (1986)-Kuwait. She did M.S in Computer Information System Department at Yarmouk University in (2013) Jordan. She has more than 20 years of teaching experience. Her research interests include the following fields (Arabic Language Processing and Analysis and Information Hiding). Belal Abu Ata obtained his BSc. in Computer Science from Yarmouk University, Jordan in 1991 and MSc in Computer Science from the National University of Malaysia in 1995. Also, he obtained his PhD degree from National University of Malaysia in 1995 in the area of Multilingual Information Retrieval. He is presently working as Associate Professor in the Department of Computer Information Systems at Yarmouk University, Jordan. He is having a total of more than 15 years of teaching experience and research in various IT colleges in Malaysia, Bahrain and Jordan. His research interest includes Information Retrieval, Web Searching and Evaluation, Multimedia Systems.