arXiv:2510.23271cs.CL2025-10

专为阿拉伯语文化传承与意图理解打造的高精度语言模型

Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding

  • 基于自研阿拉伯语OCR技术,融合古籍与学术文献训练
  • 通过实用闭合架构解决回答准确但无助于用户需求的问题
  • 适合文化遗产保护、宗教研究及本地化智能服务场景

Mubeen是由MASARAT SA开发的私有阿拉伯语语言模型,专为深入理解阿拉伯语言学、伊斯兰研究和文化遗产而优化。模型在大量真实阿拉伯语资料上训练,这些资料通过自研阿拉伯语OCR引擎数字化,涵盖语言学、教法、圣训和《古兰经》注释等经典著作,以及数千篇学术论文和同行评审的研究成果。通过深度语言工程框架进行条件化,Mubeen不仅掌握语义,更理解阿拉伯语的修辞之美,能精准理解古典文本、现代写作和区域方言中的用户意图,提供上下文相关的准确回应。不同于依赖英文翻译数据的阿拉伯语模型,Mubeen使用原生阿拉伯语资源,确保文化真实性和准确性。其核心创新为实用闭合架构(Practical Closure Architecture),旨在解决‘效用缺口危机’——即答案虽正确却无法满足用户核心需求,导致反复追问。该架构强调清晰度与决断性指引,使模型从信息库转变为决策指南,契合沙特2030愿景。模型结合深度遗产专长与多学科专家模块,在文化保育与通用知识领域均表现稳健。

原文摘要 · Abstract (English)

Mubeen is a proprietary Arabic language model developed by MASARAT SA, optimized for deep understanding of Arabic linguistics, Islamic studies, and cultural heritage. Trained on an extensive collection of authentic Arabic sources significantly expanded by digitizing historical manuscripts via a proprietary Arabic OCR engine, the model incorporates seminal scholarly works in linguistics, jurisprudence, hadith, and Quranic exegesis, alongside thousands of academic theses and peer-reviewed research papers. Conditioned through a deep linguistic engineering framework, Mubeen masters not just the meaning but the eloquence of Arabic, enabling precise understanding across classical texts, contemporary writing, and regional dialects with focus on comprehending user intent and delivering accurate, contextually relevant responses. Unlike other Arabic models relying on translated English data that often fail in intent detection or retrieval-augmented generation (RAG), Mubeen uses native Arabic sources to ensure cultural authenticity and accuracy. Its core innovation is the Practical Closure Architecture, designed to solve the "Utility Gap Crisis" where factually correct answers fail to resolve users' core needs, forcing them into frustrating cycles of re-prompting. By prioritizing clarity and decisive guidance, Mubeen transforms from an information repository into a decisive guide, aligning with Saudi Vision 2030. The model's architecture combines deep heritage specialization with multi-disciplinary expert modules, enabling robust performance across both cultural preservation and general knowledge domains.

语言模型阿拉伯语文化保育意图理解

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