---
title: "Who cites Automatic Difficulty Classification of Arabic Sentences"
description: "9 papers of the Elamur Research library cite «Automatic Difficulty Classification of Arabic Sentences», found in their bibliographies; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/khallaf-2021-automatic-difficulty-classification-arabic-sentences/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/khallaf-2021-automatic-difficulty-classification-arabic-sentences/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Automatic Difficulty Classification of Arabic…](https://md.research.elamur.ai/free/en/papers/khallaf-2021-automatic-difficulty-classification-arabic-sentences/) / cited by

# Who cites «Automatic Difficulty Classification of Arabic Sentences»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Automatic Difficulty Classification of Arabic Sentences»](https://md.research.elamur.ai/free/en/papers/khallaf-2021-automatic-difficulty-classification-arabic-sentences/)

1. **[Strategies for Arabic Readability Modeling](https://md.research.elamur.ai/free/en/papers/liberato-2024-strategies-arabic-readability-modeling/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Juan Liberato, Bashar Alhafni, Muhamed Khalil, et al.*2024 · 26 citations*
2. **[DARES: Dataset for Arabic Readability Estimation of School Materials](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Mo El-Haj, Sultan Almujaiwel, Damith Premasiri, et al.*2024 · 15 citations*
3. **[Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation](https://md.research.elamur.ai/free/en/papers/rabih-2026-can-llms-control-readability-multi/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Nour Rabih, Chatrine Qwaider, Ted Briscoe*2026*
4. **[Transformer-based readability classifiers are worse than you think: Evidence from cross-domain Arabic readability assessment](https://md.research.elamur.ai/free/en/papers/alzubi-2026-transformer-based-readability-classifiers-are/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sarah Alzubi, Robert Reynolds*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/khallaf-2021-automatic-difficulty-classification-arabic-sentences/) — Automatic Difficulty Classification of Arabic Sentences