---
title: "Who cites Learning meters of Arabic and — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward…"
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---
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# Who cites «Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis»](https://md.research.elamur.ai/free/en/papers/yousef-2019-learning-meters-arabic-english-poems/)

1. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models arXiv:2103.06678**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
2. [**AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis arXiv:2403.12392**Faisal Qarah*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-arapoembert-pretrained-language-model-arabic/)
3. **[Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization](https://md.research.elamur.ai/free/en/papers/elgamal-2024-arabic-diacritics-wild-exploiting-opportunities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Salman Elgamal, Ossama Obeid, Mhd Kabbani, et al.*2024 · 10 citations*
4. [**Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches arXiv:2307.06218**Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-ashaar-automatic-analysis-generation-arabic/)
5. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need arXiv:2401.04848**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/)
6. [**An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics arXiv:2208.11484**Aly Mostafa, Omar Mohamed, Ali Ashraf, et al.*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mostafa-2022-end-end-ocr-framework-robust/)
7. **[A Large and Balanced Multi-Domain Arabic Corpus Annotated for Morphology, Syntax, and Readability](https://md.research.elamur.ai/free/en/papers/elmadani-2026-large-balanced-multi-domain-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Khalid N. Elmadani, Adel Mahmoud Wizani, Hanada Taha Thomure, et al.*2026 · 2 citations*
8. **[NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking](https://md.research.elamur.ai/free/en/papers/chakra-2026-neoarabert-modern-foundation-model-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.*2026 · 1 citation*
9. **[Tahḏīb: A Rhythm-Aware Phrase Insertion for Classical Arabic Poetry Composition](https://md.research.elamur.ai/free/en/papers/elzohbi-2025-tah-ib-rhythm-aware-phrase/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamad Elzohbi, Richard Zhao*2025 · 1 citation*
10. **[DIA2 - a Comprehensive and Diverse Diacritized Arabic Corpus for NLP Research](https://md.research.elamur.ai/free/en/papers/dekmak-2026-dia2-comprehensive-diverse-diacritized-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Fatima Dekmak, Shady Elbassuoni, Khaled Shaban, et al.*2026*
11. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task arXiv:2504.12172**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/yousef-2019-learning-meters-arabic-english-poems/) — Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis
