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# Who cites «Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic»

39 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-2017-zalmout-don-t-throw-those-morphological/)

1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
2. [Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric](https://arxiv.org/abs/2608.20964) *— 2026 · arXiv:2608.20964*
3. [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)*
4. [Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic](https://md.mova.elamur.ai/free/en/docs/papers/coling-2024-khairallah-camel-morph-msa-large-scale/) *— our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-khairallah-computational-morphology-lexicography-modeling-modern/) *— our card · 2024*
6. [DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPT](https://aclanthology.org/2024.iwclul-1.4/) *— 2024 · Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages*
7. [Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain](https://arxiv.org/abs/2307.09630) *— 2023 · arXiv:2307.09630*
8. [Camelira: An Arabic Multi-Dialect Morphological Disambiguator](https://md.mova.elamur.ai/free/en/docs/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*
9. [Improving Arabic Diacritization by Learning to Diacritize and Translate](https://aclanthology.org/2022.iwslt-1.2/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
10. [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*
11. [Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-habash-morphotactic-modeling-open-source-multi/) *— our card · 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
12. [Restoring Hebrew Diacritics Without a Dictionary](https://md.mova.elamur.ai/free/en/docs/papers/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/) *— our card · 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
13. [TArC: Tunisian Arabish Corpus, First complete release](https://aclanthology.org/2022.lrec-1.121/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
14. [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)*
15. [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*
16. [A Pointer Network Architecture for Joint Morphological Segmentation and Tagging](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
17. [CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://aclanthology.org/2020.lrec-1.868/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
18. [Evaluating Neural Morphological Taggers for Sanskrit](https://aclanthology.org/2020.sigmorphon-1.23/) *— 2020 · Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
19. [Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
21. [Morphological disambiguation from stemming data](https://aclanthology.org/2020.coling-main.409/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
22. [A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance](https://aclanthology.org/W19-4214/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
23. [Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
24. [Arabic natural language processing: An overview](https://arxiv.org/abs/1903.02784) *— 2019 · arXiv:1903.02784*
25. [Efficient Convolutional Neural Networks for Diacritic Restoration](https://aclanthology.org/D19-1151/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
26. [How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?](https://aclanthology.org/K19-1043/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
27. [How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models](https://aclanthology.org/W19-4411/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
28. [Restoring Arabic vowels through omission-tolerant dictionary lookup](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2019-neme-restoring-arabic-vowels-through-omission/) *— our card · 2019 · arXiv:1905.04051*
29. [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)*
30. [Addressing Noise in Multidialectal Word Embeddings](https://aclanthology.org/P18-2089/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
31. [An Arabic Morphological Analyzer and Generator with Copious Features](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-taji-arabic-morphological-analyzer-generator-copious/) *— our card · 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology*
32. [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*
33. [Modeling Composite Labels for Neural Morphological Tagging](https://aclanthology.org/K18-1036/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
34. [Noise-Robust Morphological Disambiguation for Dialectal Arabic](https://md.mova.elamur.ai/free/en/docs/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)*
35. [Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models](https://aclanthology.org/D18-1097/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
36. quecedo-2020-neural-disambiguation-lemma-part-speech
37. sabri-2021-lamad-linguistic-attentional-model-arabic
38. toleu-2022-language-independent-approach-morphological-disambiguation
39. zalmout-2020-utilizing-subword-entities-character-level
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