---
title: "Who cites Arabic Diacritization: Stats, Rules, and Hacks"
description: "30 papers of the Elamur Research library cite «Arabic Diacritization: Stats, Rules, and Hacks», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/darwish-2017-arabic-diacritization-stats-rules-hacks/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Arabic Diacritization: Stats, Rules, and Hacks](https://md.research.elamur.ai/free/en/papers/darwish-2017-arabic-diacritization-stats-rules-hacks/) / cited by

# Who cites «Arabic Diacritization: Stats, Rules, and Hacks»

30 papers of our library cite it (of the 140,884 whose bibliographies we read) · 18 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/darwish-2017-arabic-diacritization-stats-rules-hacks/)

1. [**Arabic Text Diacritization Using Deep Neural Networks**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 71 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-arabic-text-diacritization-using-deep/)
2. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/)
3. [**Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation**Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, et al.*2019 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/)
4. [**A Multitask Learning Approach for Diacritic Restoration**Sawsan Alqahtani, Ajay Mishra, Mona Diab*2020 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alqahtani-2020-multitask-learning-approach-diacritic-restoration/)
5. [**Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models**Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-taqyim-evaluating-arabic-nlp-tasks/)
6. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
7. [**Build Fast and Accurate Lemmatization for Arabic**Hamdy Mubarak*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2018-build-fast-accurate-lemmatization-arabic/)
8. [**How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study**Saeed Esmail, Kfir Bar, Nachum Dershowitz*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/)
9. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/)
10. [**Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text**Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/)
11. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/)
12. [**Sadeed: Advancing Arabic Diacritization Through Small Language Model**Zeina Aldallal, Sara Chrouf, Khalil Hennara, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aldallal-2025-sadeed-advancing-arabic-diacritization-through/)
13. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/)
14. [**Automated Prediction of Medieval Arabic Diacritics**Khalid Alnajjar, Mika Hamalainen, Niko Partanen, et al.*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alnajjar-2020-automated-prediction-medieval-arabic-diacritics/)
15. [**More Data, Fewer Diacritics: Scaling Arabic TTS**Ahmed Musleh, Yifan Zhang, Kareem Darwish*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/musleh-2026-more-data-fewer-diacritics-scaling/)
16. [**QVoice: Arabic Speech Pronunciation Learning Application**Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kheir-2023-qvoice-arabic-speech-pronunciation-learning/)
17. [**Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Study**Hawau Olamide Toyin, Samar Mohamed Magdy, Hanan Aldarmaki*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/toyin-2026-are-llms-good-text-diacritizers/)
18. [**Dotless Representation of Arabic Text: Analysis and Modeling**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/)

12 more papers of our library cite it; they have no page here yet.

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