--- title: "Who cites Gulf Arabic Diacritization: — 2 citing papers" description: "2 papers of the Elamur Research library cite «Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/alabbasi-2022-gulf-arabic-diacritization-guidelines-initial/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/alabbasi-2022-gulf-arabic-diacritization-guidelines-initial/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Gulf Arabic Diacritization: Guidelines, Initial…](https://md.research.elamur.ai/free/en/papers/alabbasi-2022-gulf-arabic-diacritization-guidelines-initial/) / cited by # Who cites «Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results»](https://md.research.elamur.ai/free/en/papers/alabbasi-2022-gulf-arabic-diacritization-guidelines-initial/) 1. **[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* 2. [**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/) - [← back to](https://md.research.elamur.ai/free/en/papers/alabbasi-2022-gulf-arabic-diacritization-guidelines-initial/) — Gulf Arabic Diacritization: Guidelines, Initial Dataset, and Results