---
title: "Who cites Neural Arabic Text Diacritization: State of the…"
description: "18 papers of the Elamur Research library cite «Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation»…"
canonical: "https://research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Arabic Text Diacritization: State of the…](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/) / cited by

# Who cites «Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation»

18 papers of our library cite it (of the 140,884 whose bibliographies we read) · 9 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/)

1. [**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/)
2. [**Diacritic Recognition Performance in Arabic ASR**Hanan Aldarmaki, Ahmad Ghannam*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/aldarmaki-2023-diacritic-recognition-performance-arabic-asr/)
3. [**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/)
4. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
5. [**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/)
6. [**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/)
7. [**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/)
8. [**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/)
9. [**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/fadel-2019-neural-arabic-text-diacritization-state/) — Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation