--- title: "Who cites Joint Prediction of Morphosyntactic Categories…" description: "The papers of the Elamur Research library that cite «Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging…" canonical: "https://research.elamur.ai/free/en/papers/lingbulk-2017-inoue-joint-prediction-morphosyntactic-categories-fine/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/lingbulk-2017-inoue-joint-prediction-morphosyntactic-categories-fine/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Joint Prediction of Morphosyntactic Categories…](https://md.research.elamur.ai/free/en/papers/lingbulk-2017-inoue-joint-prediction-morphosyntactic-categories-fine/) / cited by # Who cites «Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information» 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/lingbulk-2017-inoue-joint-prediction-morphosyntactic-categories-fine/) 1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718* 2. [Ossetic-COT: Designing a morphologically annotated corpus and morphological analyzer for Ossetic](https://arxiv.org/abs/2607.04895) *— 2026 · arXiv:2607.04895 · Computational Linguistics and Intellectual Technologies. Proceedings of the International Conference Dialogue 2026 (2026) 544-555* 3. [Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework](https://md.research.elamur.ai/free/en/papers/machado-2024-evaluating-large-language-models-tasks/) *— our card · 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1* 4. [An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus](https://aclanthology.org/2023.ldk-1.14/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge* 5. [Camelira: An Arabic Multi-Dialect Morphological Disambiguator](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-obeid-camelira-arabic-multi-dialect-morphological/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations* 6. [Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://aclanthology.org/2022.findings-acl.135/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022* 7. [Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic](https://nejlt.ep.liu.se/article/view/4315) *— 2022 · Northern European Journal of Language Technology* 8. [Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.research.elamur.ai/free/en/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics* 9. [Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference* 10. [Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation](https://aclanthology.org/2020.wanlp-1.16/) *— 2020 · Proceedings of the Fifth Arabic Natural Language Processing Workshop* 11. [Neural Disambiguation of Lemma and Part of Speech in Morphologically Rich Languages](https://aclanthology.org/2020.lrec-1.439/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference* 12. [Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling](https://md.research.elamur.ai/free/en/papers/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics* 13. [A Morphologically Annotated Corpus of Emirati Arabic](https://aclanthology.org/L18-1607/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)* 14. [Complementary Strategies for Low Resourced Morphological Modeling](https://aclanthology.org/W18-5806/) *— 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology* 15. [LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs](https://aclanthology.org/D18-1532/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing* 16. [Modeling Composite Labels for Neural Morphological Tagging](https://aclanthology.org/K18-1036/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning* 17. [Noise-Robust Morphological Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)* 18. [Don”t Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-zalmout-don-t-throw-those-morphological/) *— our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*