---
title: "Who cites Country-level Arabic Dialect — 2 citing papers"
description: "2 papers of the Elamur Research library cite «Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning…"
canonical: "https://research.elamur.ai/free/en/papers/althobaiti-2021-country-level-arabic-dialect-identification/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Country-level Arabic Dialect Identification Using…](https://md.research.elamur.ai/free/en/papers/althobaiti-2021-country-level-arabic-dialect-identification/) / cited by

# Who cites «Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models»](https://md.research.elamur.ai/free/en/papers/althobaiti-2021-country-level-arabic-dialect-identification/)

1. **[NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2021-nadi-2021-second-nuanced-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.*2021 · 67 citations*
2. **[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*
- [← back to](https://md.research.elamur.ai/free/en/papers/althobaiti-2021-country-level-arabic-dialect-identification/) — Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models
