--- title: "Who cites ARBML: Democratizing Arabic — 3 citing papers" description: "3 papers of the Elamur Research library cite «ARBML: Democratizing Arabic Natural Language Processing Tools», found in their…" canonical: "https://research.elamur.ai/free/en/papers/alyafeai-2020-arbml-democratizing-arabic-natural-language/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/alyafeai-2020-arbml-democratizing-arabic-natural-language/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ARBML: Democratizing Arabic Natural Language…](https://md.research.elamur.ai/free/en/papers/alyafeai-2020-arbml-democratizing-arabic-natural-language/) / cited by # Who cites «ARBML: Democratizing Arabic Natural Language Processing Tools» 3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «ARBML: Democratizing Arabic Natural Language Processing Tools»](https://md.research.elamur.ai/free/en/papers/alyafeai-2020-arbml-democratizing-arabic-natural-language/) 1. [**Lost in Translation: Large Language Models in Non-English Content Analysis arXiv:2306.07377**Gabriel Nicholas, Aliya Bhatia*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/nicholas-2023-lost-translation-large-language-models/) 2. [**101 Billion Arabic Words Dataset arXiv:2405.01590**Manel Aloui, Hasna Chouikhi, Ghaith Chaabane, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/aloui-2024-101-billion-arabic-words-dataset/) 3. **[Dotless Arabic Text for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/shaibani-2025-dotless-arabic-text-natural-language/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Maged S. Al-Shaibani, Irfan Ahmad*2025 · 3 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/alyafeai-2020-arbml-democratizing-arabic-natural-language/) — ARBML: Democratizing Arabic Natural Language Processing Tools