arabic-language
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- PaperarXiv — Language & NLP (cs.CL)20 Jun 2026
Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation
Nour Rabih, Chatrine Qwaider, Ted Briscoe
Proposes a multi-dimensional evaluation framework for CEFR-controlled Arabic text generation using LLMs, integrating constrained prompting, readability prediction, lexical validation, and syntactic profiling. Results show that structured prompting with lexical constraints achieves high CEFR alignment (cosine similarity 0.91) and near-perfect readability prediction (0.99), while unconstrained prompting lacks control.
Original abstract
While Large Language Models (LLMs) can generate fluent Arabic text, their ability to reliably control readability levels remains unclear. We propose a multi-dimensional evaluation framework for Common European Framework of Reference for Language (CEFR)-controlled Arabic text generation, assessing whether instruction-following LLMs can serve as reliable generators for adaptive language learning. Our framework integrates controlled prompting, automatic readability prediction using a validated Taha-19 model, lexical constraint validation, and syntactic complexity profiling. Results show that structured prompting substantially improves CEFR alignment. In particular, CEFR-guided prompting with lexical constraints achieves the highest conformity to reference linguistic profiles (0.91 cosine similarity) and near-perfect agreement with predicted readability levels (0.99), while unconstrained prompting exhibits weak control. These findings establish an empirical foundation for integrating readability-aware Arabic text generation into adaptive educational systems.
- PaperComputer Assisted Language Learning11 Jun 2026
From declarative knowledge to procedural fluency: a generative AI tutor for Arabic agreement rules
Djemai Mahmoud Boulaares
This paper proposes a generative AI tutor designed to help Arabic learners transition from declarative knowledge of agreement rules to procedural fluency in applying them.