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# Who cites «Improving Arabic Diacritization through Syntactic Analysis»

14 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/aclbulk-2015-shahrour-improving-arabic-diacritization-through-syntactic/)

1. [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)*
2. [Improving Arabic Diacritization with Regularized Decoding and Adversarial Training](https://md.mova.elamur.ai/free/en/docs/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)*
3. [A Multitask Learning Approach for Diacritic Restoration](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-alqahtani-multitask-learning-approach-diacritic-restoration/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
4. [Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations](https://aclanthology.org/2020.coling-main.225/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
5. [Arabic Text Diacritization Using Deep Neural Networks](https://arxiv.org/abs/1905.01965) *— 2019 · arXiv:1905.01965*
6. [Arabic natural language processing: An overview](https://arxiv.org/abs/1903.02784) *— 2019 · arXiv:1903.02784*
7. [Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-fadel-neural-arabic-text-diacritization-state/) *— our card · 2019 · Proceedings of the 6th Workshop on Asian Translation*
8. [Don''t Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-zalmout-don-t-throw-those-morphological/) *— our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
9. [SHAKKIL: An Automatic Diacritization System for Modern Standard Arabic Texts](https://aclanthology.org/W17-1311/) *— 2017 · Proceedings of the Third Arabic Natural Language Processing Workshop*
10. [SMARTies: Sentiment Models for Arabic Target entities](https://aclanthology.org/E17-1094/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
11. [CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis/) *— our card · 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations*
12. [Exploiting Arabic Diacritization for High Quality Automatic Annotation](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-habash-exploiting-arabic-diacritization-high-quality/) *— our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
13. [Guidelines and Framework for a Large Scale Arabic Diacritized Corpus](https://aclanthology.org/L16-1577/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
14. zaghouani-2016-ambiguity-detection-streamline-linguistic-annotation
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