Meter classification of Arabic poems using deep bidirectional recurrent neural networks-Reference-Cited by-同舟云学术

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Meter classification of Arabic poems using deep bidirectional recurrent neural networks

Published:2020-08 Issue: Volume:136 Page:1-7
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Al-shaibani Maged S.,Alyafeai Zaid,Ahmad Irfan^ORCID

Funder

King Fahd University of Petroleum & Minerals

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Towards a new theory of arabic prosody;Abdel-Malek,2019

2. A rule-based algorithm for the detection of arud meter in classical arabic poetry;Abuata;IAJIT,2018

3. Sharh Al-Muallakat Al-Asher (in Arabic);Al-Zozoni,1983

4. Aldiwan, Aldiwan, 2013,

5. Finding arabic poem meter using context free grammar;Alnagdawi;J. Commun. Comp.,2013

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2. BERT-AraPeotry: BERT-based Arabic Poems Classification Model;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

3. Leveraging Hybrid Adaptive Sine Cosine Algorithm with Deep Learning for Arabic Poem Meter Detection;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-10

4. Tang Chang’an poetry automatic classification: a practical application of deep learning methods;Digital Scholarship in the Humanities;2024-04-04

5. Exploring Character Trigrams for Robust Arabic Text Classification: A Comparative Analysis in the Face of Vocabulary Expansion and Misspelled Words;IEEE Access;2024

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