---
title: "Who cites Arabic Dialect Identification with — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features», found…"
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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/) / [Arabic Dialect Identification with Deep Learning…](https://md.research.elamur.ai/free/en/papers/fares-2019-arabic-dialect-identification-deep-learning/) / cited by

# Who cites «Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features»](https://md.research.elamur.ai/free/en/papers/fares-2019-arabic-dialect-identification-deep-learning/)

1. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations*
2. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
3. **[LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier](https://md.research.elamur.ai/free/en/papers/touileb-2020-ltg-st-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Samia Touileb*2020 · 15 citations*
4. **[Arabic Dialect Identification Using BERT-Based Domain Adaptation](https://md.research.elamur.ai/free/en/papers/beltagy-2020-arabic-dialect-identification-bert-based/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmad Beltagy, Abdelrahman Abouelenin, Omar ElSherief*2020 · 9 citations*
5. **[Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System](https://md.research.elamur.ai/free/en/papers/tahssin-2020-identifying-nuanced-dialect-arabic-tweets/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Rawan Tahssin, Youssef Kishk, Marwan Torki*2020 · 9 citations*
6. **[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*
7. [**Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings arXiv:2506.21386**Ghazal Al-Shwayyat, Omer Nezih Gerek*2025*](https://md.research.elamur.ai/free/en/papers/al-shwayyat-2025-hybrid-deep-learning-signal-processing/)
- [← back to](https://md.research.elamur.ai/free/en/papers/fares-2019-arabic-dialect-identification-deep-learning/) — Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features