---
title: "Who cites Improving Arabic Diacritization through…"
description: "14 papers of the Elamur Research library cite «Improving Arabic Diacritization through Syntactic Analysis», found in their bibliographies; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/shahrour-2015-improving-arabic-diacritization-through-syntactic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Improving Arabic Diacritization through Syntactic…](https://md.research.elamur.ai/free/en/papers/shahrour-2015-improving-arabic-diacritization-through-syntactic/) / cited by

# Who cites «Improving Arabic Diacritization through Syntactic Analysis»

14 papers of our library cite it (of the 140,884 whose bibliographies we read) · 8 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/shahrour-2015-improving-arabic-diacritization-through-syntactic/)

1. [**Arabic natural language processing: An overview**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/)
2. [**Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic**Nasser Zalmout, Nizar Habash*2017 · 96 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/)
3. [**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/)
4. [**CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation**Anas Shahrour, Salam Khalifa, Dima Taji, et al.*2016 · 44 citations*](https://md.research.elamur.ai/free/en/papers/shahrour-2016-camelparser-system-arabic-syntactic-analysis/)
5. [**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/)
6. [**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/)
7. [**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/)
8. [**Exploiting Arabic Diacritization for High Quality Automatic Annotation**Nizar Habash, Anas Shahrour, Muhamed Al-Khalil*2016 · 16 citations*](https://md.research.elamur.ai/free/en/papers/habash-2016-exploiting-arabic-diacritization-high-quality/)

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

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