语言空间智能:学科交叉创新的机遇与挑战

Linguistic-Spatial Intelligence: Opportunities and Challenges of Interdisciplinary Innovation

  • 摘要: 为响应国家“语言资源保护开发”的迫切需求和科技融合发展趋势,该文提出了“语言空间智能”这一新兴领域。该领域融通语言学、地理学和人工智能,专注于多模态语言数据的信息识别、提取、处理、重构、制图、挖掘分析与智能服务。论文首先阐明了语言空间智能的基本内涵,涵盖其概念、内在逻辑、应用领域及核心科学问题等方面。其次,提炼出了该领域的几项核心研究内容,介绍了其支撑理论与方法。最后,阐明了该领域面临的机遇与挑战,并探讨其实现路径。本文的研究不仅有助于推进交叉学科建设,发掘学术增长点,还将为创新性人才培养和前沿社会应用提供重要指引,助力语言资源的保护与开发。

     

    Abstract: In response to the urgent demand of the national “language resources protection and development” and the development trend of scientific and technological integration, this paper formally proposes the emerging field of “linguistic-spatial intelligence”. This field integrates linguistics, geography and artificial intelligence, and focuses on information recognition, extraction, processing, reconstruction, mapping, mining analysis and intelligent service of multimodal linguistic data. The paper firstly clarifies the basic connotation of linguistic-spatial intelligence, covering aspects such as its concept, internal logic, application domains, and core scientific issues. Secondly, it refines several core research contents in this field and introduces its supporting theories and methods. Finally, the opportunities and challenges faced by this field are clarified, and the path of its realization is discussed. This research will not only help to promote the construction of cross-disciplines and the identification of academic growth points, but also provide important guidance for the cultivation of innovative talents and cutting-edge social applications, as well as help the protection and development of language resources.

     

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