--- title: "Who cites Multi-Dialect Arabic POS Tagging: A CRF Approach" description: "24 papers of the Elamur Research library cite «Multi-Dialect Arabic POS Tagging: A CRF Approach», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multi-Dialect Arabic POS Tagging: A CRF Approach](https://md.research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/) / cited by # Who cites «Multi-Dialect Arabic POS Tagging: A CRF Approach» 24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «Multi-Dialect Arabic POS Tagging: A CRF Approach»](https://md.research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/) 1. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations* 2. **[ORCA: A Challenging Benchmark for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/elmadany-2023-orca-challenging-benchmark-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**AbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 83 citations* 3. **[NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2023-nadi-2023-fourth-nuanced-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang, et al.*2023 · 82 citations* 4. **[Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://md.research.elamur.ai/free/en/papers/inoue-2022-morphosyntactic-tagging-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Go Inoue, Salam Khalifa, Nizar Habash*2022 · 58 citations* 5. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/) 6. [**Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling**Nasser Zalmout, Nizar Habash*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2019-adversarial-multitask-learning-joint-multi/) 7. **[Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan*2021 · 25 citations* 8. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/) 9. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/) 10. **[Developing a Tag-Set and Extracting the Morphological Lexicons to Build a Morphological Analyzer for Egyptian Arabic](https://md.research.elamur.ai/free/en/papers/fashwan-2022-developing-tag-set-extracting-morphological/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amany Fashwan, Sameh Alansary*2022 · 6 citations* 11. [**Out-of-Domain Dependency Parsing for Dialects of Arabic: A Case Study**Noor Abo Mokh, Daniel Dakota, Sandra Kübler*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mokh-2024-out-domain-dependency-parsing-dialects/) 12. **[Active Learning for Multidialectal Arabic POS Tagging](https://md.research.elamur.ai/free/en/papers/akra-2025-active-learning-multidialectal-arabic-pos/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Diyam Akra, Mohammed Khalilia, Mustafa Jarrar*2025 · 2 citations* 13. **[Improving POS Tagging for Arabic Dialects on Out-of-Domain Texts](https://md.research.elamur.ai/free/en/papers/mokh-2022-improving-pos-tagging-arabic-dialects/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Noor Abo Mokh, Daniel Dakota, Sandra Kübler*2022 · 2 citations* 14. **[The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic](https://md.research.elamur.ai/free/en/papers/abdulrahim-2022-bahrain-corpus-multi-genre-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dana Abdulrahim, Go Inoue, Latifa Shamsan, et al.*2022 · 2 citations* 15. [**From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models arXiv:2602.09826**Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/khalak-2026-fusha-folk-exploring-cross-lingual/) 16. **[Lost in Variation: An Unsupervised Methodology for Mining Lexico-syntactic Patterns in Middle Arabic Texts](https://md.research.elamur.ai/free/en/papers/bezancon-2025-lost-variation-unsupervised-methodology-mining/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Julien Bezançon, Rimane Karam, Gaël Lejeune*2025 · 1 citation* 17. [**On the importance of Data Scale in Pretraining Arabic Language Models arXiv:2401.07760**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/) 18. **[Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic](https://md.research.elamur.ai/free/en/papers/becker-2022-part-speech-morphological-tagging-algerian/) [Northern European Journal of Language Technology](https://md.research.elamur.ai/free/en/venues/northern-european-journal-of-language-technology/)**Ofra Tirosh-Becker, Michal Kessler, Oren Becker, et al.*2022* 6 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/) — Multi-Dialect Arabic POS Tagging: A CRF Approach