--- title: "Who cites Weighted combination of BERT — 15 citing papers" description: "15 papers of the Elamur Research library cite «Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect…" canonical: "https://research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Weighted combination of BERT and N-GRAM features…](https://md.research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/) / cited by # Who cites «Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification» 15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification»](https://md.research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/) 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. **[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* 3. **[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* 4. **[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* 5. **[Arabic Dialect Identification and Sentiment Classification using Transformer-based Models](https://md.research.elamur.ai/free/en/papers/attieh-2022-arabic-dialect-identification-sentiment-classification/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Joseph Attieh, Fadi Hassan*2022 · 8 citations* 6. **[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* 7. **[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* 8. **[NLP_DI at NADI 2024 shared task: Multi-label Arabic Dialect Classifications with an Unsupervised Cross-Encoder](https://md.research.elamur.ai/free/en/papers/kanjirangat-2024-nlp-di-nadi-2024-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2024 · 4 citations* 9. [**Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need arXiv:2401.04848**Abderrahman Skiredj, Ismail Berrada*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-arabic-text-diacritization-age-transfer/) 10. **[Mavericks at NADI 2023 Shared Task: Unravelling Regional Nuances through Dialect Identification using Transformer-based Approach](https://md.research.elamur.ai/free/en/papers/deshpande-2023-mavericks-nadi-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vedant Deshpande, Yash Patwardhan, Kshitij Deshpande, et al.*2023 · 2 citations* 11. **[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* 12. **[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* 13. [**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/) 2 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mekki-2020-weighted-combination-bert-n-gram/) — Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification