---
title: "Who cites Supporting Undotted Arabic with — 3 citing papers"
description: "3 papers of the Elamur Research library cite «Supporting Undotted Arabic with Pre-trained Language Models», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/rom-2021-supporting-undotted-arabic-pre-trained/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rom-2021-supporting-undotted-arabic-pre-trained/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Supporting Undotted Arabic with Pre-trained…](https://md.research.elamur.ai/free/en/papers/rom-2021-supporting-undotted-arabic-pre-trained/) / cited by

# Who cites «Supporting Undotted Arabic with Pre-trained Language Models»

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 «Supporting Undotted Arabic with Pre-trained Language Models»](https://md.research.elamur.ai/free/en/papers/rom-2021-supporting-undotted-arabic-pre-trained/)

1. **[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*
2. [**Dotless Representation of Arabic Text: Analysis and Modeling arXiv:2312.16104**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/)
3. [**Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective arXiv:2608.02935**Dorieh Alomari; Irfan Ahmad;, Maged S. Al-shaibani*2026*](https://md.research.elamur.ai/free/en/papers/alomari-2026-character-iconicity-vs-arbitrariness-arabic/)
- [← back to](https://md.research.elamur.ai/free/en/papers/rom-2021-supporting-undotted-arabic-pre-trained/) — Supporting Undotted Arabic with Pre-trained Language Models