---
title: "Who cites A Multitask Learning Approach for Diacritic…"
description: "The papers of the Elamur Research library that cite «A Multitask Learning Approach for Diacritic Restoration», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/cited-by/"
---
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# Who cites «A Multitask Learning Approach for Diacritic Restoration»

11 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/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/)

1. [Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori](https://aclanthology.org/2026.lrec-1.276/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://aclanthology.org/2025.findings-naacl.208/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
3. [A Multi-Task Learning Approach to Dialectal Arabic Identification and Translation to Modern Standard Arabic](https://aclanthology.org/2025.lowresnlp-1.4/) *— 2025 · Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages*
4. [Accent Placement Models for Rigvedic Sanskrit Text](https://aclanthology.org/2025.bhasha-1.11/) *— 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)*
5. [Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models](https://aclanthology.org/2025.emnlp-main.846/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
6. [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)*
7. [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*
8. [Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text](https://arxiv.org/abs/2306.03557) *— 2023 · arXiv:2306.03557*
9. [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*
10. [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)*
11. [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*