ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications

Kamyar Zeinalipour, Mohamed Saad, Marco Maggini, Marco Gori

Abstract
This paper presents the first Arabic crossword puzzle generator driven by advanced AI technology. Leveraging cutting-edge large language models including GPT4, GPT3-Davinci, GPT3-Curie, GPT3-Babbage, GPT3-Ada, and BERT, the system generates distinctive and challenging clues. Based on a dataset comprising over 50,000 clue-answer pairs, the generator employs fine-tuning, few/zero-shot learning strategies, and rigorous quality-checking protocols to enforce the generation of high-quality clue-answer pairs. Importantly, educational crosswords contribute to enhancing memory, expanding vocabulary, and promoting problem-solving skills, thereby augmenting the learning experience through a fun and engaging approach, reshaping the landscape of traditional learning methods. The overall system can be exploited as a powerful educational tool that amalgamates AI and innovative learning techniques, heralding a transformative era for Arabic crossword puzzles and the intersection of technology and education.
Anthology ID:
2023.arabicnlp-1.23
Volume:
Proceedings of ArabicNLP 2023
Month:
December
Year:
2023
Address:
Singapore (Hybrid)
Editors:
Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
Venues:
ArabicNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
288–301
Language:
URL:
https://aclanthology.org/2023.arabicnlp-1.23
DOI:
10.18653/v1/2023.arabicnlp-1.23
Bibkey:
Cite (ACL):
Kamyar Zeinalipour, Mohamed Saad, Marco Maggini, and Marco Gori. 2023. ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications. In Proceedings of ArabicNLP 2023, pages 288–301, Singapore (Hybrid). Association for Computational Linguistics.
Cite (Informal):
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications (Zeinalipour et al., ArabicNLP-WS 2023)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/2023.arabicnlp-1.23.pdf
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