---
title: "Who cites Multi-dialect Arabic BERT for — 33 citing papers"
description: "33 papers of the Elamur Research library cite «Multi-dialect Arabic BERT for Country-level Dialect Identification», found in their bibliographies; the…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multi-dialect Arabic BERT for Country-level…](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/) / cited by

# Who cites «Multi-dialect Arabic BERT for Country-level Dialect Identification»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← back to «Multi-dialect Arabic BERT for Country-level Dialect Identification»](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/)

1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
2. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models arXiv:2103.06678**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
3. [**Pre-Training BERT on Arabic Tweets: Practical Considerations arXiv:2102.10684**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/)
4. **[NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2020-nadi-2020-first-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, et al.*2020 · 102 citations*
5. **[Similarities between Arabic Dialects: Investigating Geographical Proximity](https://md.research.elamur.ai/free/en/papers/alsudais-2021-similarities-between-arabic-dialects-investigating/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary*2021 · 42 citations*
6. **[Masader: Metadata Sourcing for Arabic Text and Speech Data Resources](https://md.research.elamur.ai/free/en/papers/alyafeai-2022-masader-metadata-sourcing-arabic-text/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb, et al.*2022 · 29 citations*
7. **[Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 27 citations*
8. **[BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.*2021 · 26 citations*
9. **[A Survey of Large Language Models for Arabic Language and its Dialects](https://md.research.elamur.ai/free/en/papers/mashaabi-2024-survey-large-language-models-arabic/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Malak Mashaabi, Shahad Al-Khalifa, Hend Al-Khalifa*2024 · 24 citations*
10. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model arXiv:2606.25495 · Mathematical Modelling of Engineering Problems, Vol. 9, No. 6, pp. 1574-1582 (2022)**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
11. **[Improving Arabic Text Categorization Using Transformer Training Diversification](https://md.research.elamur.ai/free/en/papers/chowdhury-2020-improving-arabic-text-categorization-transformer/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shammur Absar Chowdhury, Ahmed Abdelali, Kareem Darwish, et al.*2020 · 17 citations*
12. **[sarcasm detection and quantification in arabic tweets](https://md.research.elamur.ai/free/en/papers/talafha-2021-sarcasm-detection-quantification-arabic-tweets/) [Proceedings - International Conference on Tools with Artificial Intelligence, TAI](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/)**Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, et al.*2021 · 14 citations*
13. **[Optimizing the Size of Subword Vocabularies in Dialect Classification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2023-optimizing-size-subword-vocabularies-dialect/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Vani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.*2023 · 11 citations*
14. **[Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem AlYami, Rabah Al-Zaidy*2022 · 11 citations*
15. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
16. **[Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect](https://md.research.elamur.ai/free/en/papers/fsih-2022-benchmarking-transfer-learning-approaches-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Emna Fsih, Sameh Kchaou, Rahma Boujelbane, et al.*2022 · 9 citations*
17. **[Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus](https://md.research.elamur.ai/free/en/papers/olsen-2023-arabic-dialect-identification-depth-error/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Helene Olsen, Samia Touileb, Erik Velldal*2023 · 8 citations*
18. **[Optimizing Naive Bayes for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/jauhiainen-2022-optimizing-naive-bayes-arabic-dialect/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén*2022 · 8 citations*
19. **[Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features](https://md.research.elamur.ai/free/en/papers/lichouri-2021-arabic-dialect-identification-based-weighted/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Lichouri, Mourad Abbas, Khaled Lounnas, et al.*2021 · 8 citations*
20. **[Revisiting Common Assumptions about Arabic Dialects in NLP](https://md.research.elamur.ai/free/en/papers/keleg-2025-revisiting-common-assumptions-about-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2025 · 6 citations*
21. **[Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text](https://md.research.elamur.ai/free/en/papers/laith-2025-evaluating-calibration-arabic-pre-trained/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Ali Al-Laith, Rachida Kebdani*2025 · 2 citations*
22. **[ELYADATA at NADI 2024 shared task: Arabic Dialect Identification with Similarity-Induced Mono-to-Multi Label Transformation.](https://md.research.elamur.ai/free/en/papers/karoui-2024-elyadata-nadi-2024-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Amira Karoui, Farah Gharbi, Rami Kammoun, et al.*2024 · 2 citations*
23. **[On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets](https://md.research.elamur.ai/free/en/papers/jamal-2022-arabic-dialects-identification-overcoming-challenges/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salma Jamal, Aly M. Kassem, Omar Mohamed, et al.*2022 · 2 citations*
24. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2022 · 2 citations*
25. [**Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications arXiv:2509.13775**Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2025-exploring-data-parameter-efficient-strategies/)
26. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
27. **[NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2022-nlp-di-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2022 · 1 citation*
28. **[A Hybrid Transformer-Based Model for Sentiment Analysis of Arabic Dialect Hotel Reviews](https://md.research.elamur.ai/free/en/papers/alfugaha-2025-hybrid-transformer-based-model-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Rawand Alfugaha, Mohammad AL-Smadi*2025*
29. [**BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification arXiv:2106.12495**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.*2021*](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model-country/)

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/) — Multi-dialect Arabic BERT for Country-level Dialect Identification