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arXiv · 2501.11035

From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords

Kamyar Zeinalipour·Mohamed Zaky Saad·Marco Maggini·Marco Gori
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Abstract

We present an Arabic crossword puzzle generator from a given text that utilizes advanced language models such as GPT-4-Turbo, GPT-3.5-Turbo and Llama3-8B-Instruct, specifically developed for educational purposes, this innovative generator leverages a meticulously compiled dataset named Arabic-Clue-Instruct with over 50,000 entries encompassing text, answers, clues, and categories. This dataset is intricately designed to aid in the generation of pertinent clues linked to specific texts and keywords within defined categories. This project addresses the scarcity of advanced educational tools tailored for the Arabic language, promoting enhanced language learning and cognitive development. By providing a culturally and linguistically relevant tool, our objective is to make learning more engaging and effective through gamification and interactivity. Integrating state-of-the-art artificial intelligence with contemporary learning methodologies, this tool can generate crossword puzzles from any given educational text, thereby facilitating an interactive and enjoyable learning experience. This tool not only advances educational paradigms but also sets a new standard in interactive and cognitive learning technologies. The model and dataset are publicly available.

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BibTeXRIS

Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini, Marco Gori. 2025-01-19. From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords. https://arxiv.org/abs/2501.11035

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