教育中的 Transformer 模型：使用 AraBART、MT5、AraT5 和 mBART 对科学教科书进行摘要
Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART
AI总结：
本文针对阿拉伯语科学教科书摘要任务，构建数据集并比较 MT5、AraBART、AraT5 与 mBART50，结合 Rouge 和专家评价验证其有效性。
摘要：
近年来，随着技术领域的快速发展以及互联网上可用文本数量的不断增加，开发有效的文本处理与理解工具已变得十分迫切，这些工具需要能够在概括内容的同时不丢失信息的根本本质。面对这一挑战，我们开发了一个面向阿拉伯语教科书的先进文本摘要系统。该系统依托 MT5、AraBART、AraT5 和 mBART50 等现代自然语言处理模型，评估并提取巴勒斯坦课程中 11 年级和 12 年级生物学教科书里最重要的句子，从而使学生和教师能够获得准确且有用的摘要，帮助他们轻松理解内容。我们使用 Rouge 指标评估训练后模型的性能。此外，教育专家和教科书编写人员还对训练模型的输出进行了评价。该方法旨在确定最佳解决方案，并明确需要改进的领域。本研究为阿拉伯语文本摘要提供了一种解决方案。它通过提供相关成果丰富了该领域，这些成果可为阿拉伯语理解与生成技术的研究和开发开辟新的视野。此外，研究还通过创建和汇编教科书文本并构建数据集，为阿拉伯语文本领域作出了贡献。
英文摘要：
Recently, with the rapid development in the fields of technology and the increasing amount of text t available on the internet, it has become urgent to develop effective tools for processing and understanding texts in a way that summaries the content without losing the fundamental essence of the information. Given this challenge, we have developed an advanced text summarization system targeting Arabic textbooks. Relying on modern natu-ral language processing models such as MT5, AraBART, AraT5, and mBART50, this system evaluates and extracts the most important sentences found in biology textbooks for the 11th and 12th grades in the Palestinian curriculum, which enables students and teachers to obtain accurate and useful summaries that help them easily understand the content. We utilized the Rouge metric to evaluate the performance of the trained models. Moreover, experts in education Edu textbook authoring assess the output of the trained models. This approach aims to identify the best solutions and clarify areas needing improvement. This research provides a solution for summarizing Arabic text. It enriches the field by offering results that can open new horizons for research and development in the technologies for understanding and generating the Arabic language. Additionally, it contributes to the field with Arabic texts through creating and compiling schoolbook texts and building a dataset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
