ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866910308437590016 |
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| author | Zeinalipour, Kamyar Saad, Mohamed Zaky Maggini, Marco Gori, Marco |
| author_facet | Zeinalipour, Kamyar Saad, Mohamed Zaky Maggini, Marco Gori, Marco |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_01339 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications Zeinalipour, Kamyar Saad, Mohamed Zaky Maggini, Marco Gori, Marco Computation and Language Artificial Intelligence 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. |
| title | ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2312.01339 |