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Introduction

  1. This repo is our early research on meter classification of Arabic and English poems using deep recurrent neural networks.

  2. To the best of our knowledge, this research on meter classification of Arabic poems using deep recurrent neural networks (in particular) and machine learning (in general) is unprecedented.

  3. To the best of our knowledge, as well, the dataset used for this research, which comprises more than 1.5 million of verses, is the first and largest publicly available dataset that is ready for computational research and is unprecedented as well.

History

  • 2017, Sep. This research project started as a team of six students (under the supervision of Dr. Waleed A. Yousef):

    • five undergraduates (Omar Ibrahim, Taha Madbouly, Ali Elkassas, Ali Osama, and Abdallah Elbohy), at the Faculty of Computers and Information, Helwan University (FCIH), who were pursuing their graduation project as a partial fulfillment of their B.Sc.
    • one graduate student (Moustafa Mahmoud), at Nile University (NU), who was pursuing his thesis as a partial fulfillment of his M.Sc.

  • 2018, Jun. The graduation project was defended before the official committee of FCIH.

  • 2018, Jul. The first dataset of this research project was published on the gh-pages of the private repo of the project, but available with a shared link.

  • 2018, Dec. The project's main manuscript, including a link to the dataset, was submitted to IEEE, TNNLS.

  • 2019, Apr. The master thesis was defended before the official committee of the NU.

  • 2019, May. The project's main manuscript was posted on arxiv.

  • 2021, Mar. The private repo of the project was duplicated, with preserving the full development history, and made public, which is this present repo.

Resources

Folder Structure

.
├── Arabic_Poetry
├── English_Poetry
├── Poems_Scaping_Scripts
├── RNN_Implementation
└── Webpage

Citation

Please, cite this work (either the paper or the dataset) as:

@Article{Yousef2019LearningMetersArabicEnglish-arxiv,
  author =       {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud,
                  Moustafa A.},
  title =        {Learning Meters of Arabic and English Poems With Recurrent Neural Networks: a Step
                  Forward for Language Understanding and Synthesis},
  journal =      {arXiv preprint arXiv:1905.05700},
  year =         2019,
  url =          {https://github.com/hci-lab/LearningMetersPoems}
}