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# Who cites «Arabic Diacritization Using Morphologically Informed Character-Level Model»

4 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/coling-2024-elmallah-arabic-diacritization-morphologically-informed-character/)

1. [Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-inoue-do-diacritics-matter-evaluating-impact/) *— our card · 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
2. [More Data, Fewer Diacritics: Scaling Arabic TTS](https://arxiv.org/abs/2603.01622) *— 2026 · arXiv:2603.01622*
3. [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*
4. [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)*
- [← previous Who cites «Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2018-amram-representations-architectures-neural-sentiment-analysis/)
- [next → Who cites «Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/coling-2024-khairallah-camel-morph-msa-large-scale/)
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