--- title: "Who cites Highly Effective Arabic — 23 citing papers" description: "23 papers of the Elamur Research library cite «Highly Effective Arabic Diacritization using Sequence to Sequence Modeling», found in their…" canonical: "https://research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Highly Effective Arabic Diacritization using…](https://md.research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/) / cited by # Who cites «Highly Effective Arabic Diacritization using Sequence to Sequence Modeling» 23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Highly Effective Arabic Diacritization using Sequence to Sequence Modeling»](https://md.research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/) 1. **[QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus](https://md.research.elamur.ai/free/en/papers/mubarak-2021-qasr-qcri-aljazeera-speech-resource/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury, et al.*2021 · 82 citations* 2. **[Arabic Speech Recognition by End-to-End, Modular Systems and Human](https://md.research.elamur.ai/free/en/papers/hussein-2021-arabic-speech-recognition-end-end/) [Computer Speech & Language](https://md.research.elamur.ai/free/en/venues/computer-speech-language/)**Amir Hussein, Shinji Watanabe, Ahmed Ali*2021 · 76 citations* 3. [**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/) 4. [**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/) 5. [**Nakdan: Professional Hebrew Diacritizer**Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al.*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-nakdan-professional-hebrew-diacritizer/) 6. **[Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization](https://md.research.elamur.ai/free/en/papers/alkhamissi-2020-deep-diacritization-efficient-hierarchical-recurrence/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Badr AlKhamissi, Muhammad ElNokrashy, Mohamed Gabr*2020 · 18 citations* 7. **[A System for Diacritizing Four Varieties of Arabic](https://md.research.elamur.ai/free/en/papers/mubarak-2019-system-diacritizing-four-varieties-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, et al.*2019 · 17 citations* 8. **[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* 9. [**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/) 10. [**Restoring Hebrew Diacritics Without a Dictionary**Elazar Gershuni, Yuval Pinter*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/gershuni-2022-restoring-hebrew-diacritics-without-dictionary/) 11. [**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/) 12. **[Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models](https://md.research.elamur.ai/free/en/papers/mohamed-2025-advancing-arabic-diacritization-improved-datasets/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abubakr Mohamed, Hamdy Mubarak*2025 · 5 citations* 13. **[Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://md.research.elamur.ai/free/en/papers/bahar-2023-take-hint-improving-arabic-diacritization/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Parnia Bahar, Mattia Di Gangi, Nick Rossenbach, et al.*2023 · 5 citations* 14. **[LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization](https://md.research.elamur.ai/free/en/papers/sabri-2021-lamad-linguistic-attentional-model-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raeed Al-Sabri, Jianliang Gao*2021 · 5 citations* 15. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/) 16. [**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/) 17. **[DialG2P: Dialectal Grapheme-to-Phoneme. Arabic as a Case Study](https://md.research.elamur.ai/free/en/papers/hawasly-2025-dialg2p-dialectal-grapheme-phoneme-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Majd Hawasly, Hamdy Mubarak, Ahmed Abdelali, et al.*2025 · 1 citation* 18. [**Dotless Representation of Arabic Text: Analysis and Modeling arXiv:2312.16104**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/) 19. **[Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP](https://md.research.elamur.ai/free/en/papers/younes-2020-embed-more-ignore-less-emil/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Younes, Julie Weeds*2020 · 1 citation* 20. **[Eraserhead at OSACT7 Shared Task: ASR Consistency Filtering and Speaker-Adaptive Post-Processing for Arabic Speech Diacritization](https://md.research.elamur.ai/free/en/papers/horaira-2026-eraserhead-osact7-shared-task-asr/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abu Horaira, Nahian Chowdhury*2026* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mubarak-2019-highly-effective-arabic-diacritization-sequence/) — Highly Effective Arabic Diacritization using Sequence to Sequence Modeling