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

TL;DR

This paper introduces an Arabic crossword puzzle generator powered by large language models, utilizing a new dataset to create educational puzzles that enhance language learning and engagement for Arabic speakers.

Contribution

It develops an AI-driven Arabic crossword generator using a novel dataset, addressing the lack of advanced educational tools for Arabic language learning.

Findings

Successfully generated educational Arabic crosswords from texts

Demonstrated the effectiveness of LLMs in educational puzzle creation

Provided a publicly available dataset and model for further research

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.