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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»

  1. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  2. The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language ModelsarXiv:2103.06678Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.2021 · 365 citations
  3. Pre-Training BERT on Arabic Tweets: Practical ConsiderationsarXiv:2102.10684Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.2021 · 150 citations
  4. Spam and Sentiment Detection in Arabic Tweets Using MARBERT ModelarXiv: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
  5. AlclaM: Arabic Dialect Language ModelArabic Natural Language Processing Conference (ArabicNLP)Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 10 citations
  6. Exploring Data and Parameter Efficient Strategies for Arabic Dialect IdentificationsarXiv:2509.13775Vani Kanjirangat, Ljiljana Dolamic, Fabio Rinaldi2025 · 1 citation
  7. AlcLaM: Arabic Dialectal Language ModelarXiv:2407.13097Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 1 citation
  8. BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic IdentificationarXiv:2106.12495Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.2021

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

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