From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords
Proceedings of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025), at COLING 2025, Abu Dhabi, UAE
Presented on , 6 citations on Google Scholar
In short
The paper presents a tool that generates Arabic educational crossword puzzles from any input text using GPT-4-Turbo, GPT-3.5-Turbo and Llama3-8B-Instruct, together with Arabic-Clue-Instruct, a dataset of over 50,000 entries of text, answers, clues and categories. The model and dataset are publicly released.
Cite
@inproceedings{zeinalipour-etal-2025-arabic,
title = "From {A}rabic Text to Puzzles: {LLM}-Driven Development of {A}rabic Educational Crosswords",
author = "Zeinalipour, Kamyar and
Saad, Moahmmad and
Maggini, Marco and
Gori, Marco",
editor = "Hettiarachchi, Hansi and
Ranasinghe, Tharindu and
Rayson, Paul and
Mitkov, Ruslan and
Gaber, Mohamed and
Premasiri, Damith and
Tan, Fiona Anting and
Uyangodage, Lasitha",
booktitle = "Proceedings of the First Workshop on Language Models for Low-Resource Languages",
month = jan,
year = "2025",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.loreslm-1.36/",
pages = "479--495"
}