Automatic Recognition of Arabic Poetry Meter Using Machine Learning, Template Matching, and Deep Learning-Reference-Cited by-同舟云学术

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Automatic Recognition of Arabic Poetry Meter Using Machine Learning, Template Matching, and Deep Learning

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Computing and Information Technology (ICCIT)
language:
Short-container-title:

Author:

Nahar Khalid M.O.¹,Almomani Ammar²,Abual-Rub Mohammed Said³

Affiliation:

1. Yarmouk University,Faculty of Information Technology and Computer Sciences,Computer Science Department,Irbid,Jordan

2. Skyline University College,School of Information Technology,Sharjah,United Arab Emirates

3. King Faisal University,School of Business,Department of Management Information Systems,Hofuf,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273859/10273869/10273919.pdf?arnumber=10273919

Reference8 articles.

1. Automatic Recognition of Arabic Poetry Meter from Speech Signal using Long Short-term Memory and Support Vector Machine

2. MetRec: A dataset for meter classification of arabic poetry

3. Recognition of Classical Arabic Poems;almuhareb,0

4. Recognition of Modern Arabic Poems

5. Meter classification of Arabic poems using deep bidirectional recurrent neural networks

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