---
title: "Who cites Arabic Compact Language — 4 citing papers"
description: "4 papers of the Elamur Research library cite «Arabic Compact Language Modelling for Resource Limited Devices», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Arabic Compact Language Modelling for Resource…](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/) / cited by

# Who cites «Arabic Compact Language Modelling for Resource Limited Devices»

4 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 «Arabic Compact Language Modelling for Resource Limited Devices»](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/)

1. **[A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiqiang Shi, Ruchit Agrawal*2025 · 9 citations*
2. [**Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models**Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrefaie-2024-exploring-tokenization-strategies-vocabulary-sizes/)

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/) — Arabic Compact Language Modelling for Resource Limited Devices