Classifying and diacritizing Arabic poems using deep recurrent neural networks-Reference-Cited by-同舟云学术

Classifying and diacritizing Arabic poems using deep recurrent neural networks

Published:2020-12 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Abandah Gheith A.^ORCID,Khedher Mohammed Z.^ORCID,Abdel-Majeed Mohammad R.^ORCID,Mansour Hamdi M,Hulliel Salma F,Bisharat Lara M

Publisher

Elsevier BV

Subject

General Computer Science

Reference45 articles.

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2. Abandah, G., 2020b. Arabic poem meters. http://www.abandah.com/gheith/Poetry/ (accessed 24 Aug 2020).

3. Accurate and fast recurrent neural network solution for the automatic diacritization of Arabic text;Abandah;Jordan. J. Comp. Inform. Technol.,2020

5. A rule-based algorithm for the detection of Arud meter in classical Arabic poetry;Abuata;Int. Arab J. Inform. Technol.,2018

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