用大模型自动生成阿拉伯语教育填字游戏，提升语言学习趣味性。
From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords
- 基于GPT-4等大模型，结合5万条阿拉伯语线索数据生成教育填字题
- 可从任意教材文本自动构建匹配关键词的填字谜题，支持多类别
- 适合阿拉伯语教学者、AI教育工具开发者使用，推动语言互动学习
我们提出一种从给定文本生成阿拉伯语教育填字谜题的系统，采用GPT-4-Turbo、GPT-3.5-Turbo及Llama3-8B-Instruct等先进语言模型。该系统基于一个精心构建的名为Arabic-Clue-Instruct的数据集，包含超过50,000条记录，涵盖文本、答案、线索与类别信息。该数据集专为关联特定文本关键词与相关线索而设计，旨在生成与教学内容高度契合的谜题。本项目针对阿拉伯语教育工具稀缺问题，通过游戏化与互动方式增强语言学习效果与认知发展。系统可将任意教育文本转化为交互式填字游戏，提升学习参与度。模型与数据集均已公开。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。