---
title: "Who cites Neural Arabic Text Diacritization: State of the…"
description: "The papers of the Elamur Research library that cite «Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine…"
canonical: "https://research.elamur.ai/free/en/papers/aclbulk-2019-fadel-neural-arabic-text-diacritization-state/cited-by/"
---
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# 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, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-fadel-neural-arabic-text-diacritization-state/)

1. [Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Study](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-toyin-are-llms-good-text-diacritizers/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-inoue-do-diacritics-matter-evaluating-impact/) *— our card · 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
3. [Eraserhead at OSACT7 Shared Task: ASR Consistency Filtering and Speaker-Adaptive Post-Processing for Arabic Speech Diacritization](https://aclanthology.org/2026.osact-1.32/) *— 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks*
4. [Fine-Tashkeel at KSAA-2026: A Comprehensive Evaluation of Seq2Seq and Multimodal Approaches for Automatic Diacritization of Arabic Speech Dictation](https://aclanthology.org/2026.osact-1.31/) *— 2026 · The 7th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT7) with 5 Shared Tasks*
5. [NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task](https://aclanthology.org/2025.arabicnlp-sharedtasks.99/) *— 2025 · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks*
6. [Sadeed: Advancing Arabic Diacritization Through Small Language Model](https://arxiv.org/abs/2504.21635) *— 2025 · arXiv:2504.21635*
7. [Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization](https://aclanthology.org/2024.acl-long.792/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need](https://arxiv.org/abs/2401.04848) *— 2024 · arXiv:2401.04848*
9. [Automatic Restoration of Diacritics for Speech Data Sets](https://aclanthology.org/2024.naacl-long.233/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [CATT: Character-based Arabic Tashkeel Transformer](https://aclanthology.org/2024.arabicnlp-1.21/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
11. [Data Augmentation for Speech-Based Diacritic Restoration](https://aclanthology.org/2024.arabicnlp-1.15/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
12. [Diacritic Recognition Performance in Arabic ASR](https://arxiv.org/abs/2302.14022) *— 2023 · arXiv:2302.14022 · Proceedings of INTERSPEECH 2023*
13. [Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://arxiv.org/abs/2306.03557) *— 2023 · arXiv:2306.03557*
14. [How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study](https://md.research.elamur.ai/free/en/papers/cl-2022-esmail-how-much-does-lookahead-matter/) *— our card · 2022 · Computational Linguistics*
15. [Improving Arabic Diacritization with Regularized Decoding and Adversarial Training](https://md.research.elamur.ai/free/en/papers/acl-2021-qin-improving-arabic-diacritization-regularized-decoding/) *— our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
16. [LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization](https://aclanthology.org/2021.findings-emnlp.317/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
17. [A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration](https://md.research.elamur.ai/free/en/papers/findings-2020-shmidman-novel-challenge-set-hebrew-morphological/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
18. [Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization](https://aclanthology.org/2020.wanlp-1.4/) *— 2020 · Proceedings of the Fifth Arabic Natural Language Processing Workshop*
