大数据视域下理工类跨学科术语的网络语义演变与翻译策略研究

中图分类号:H083;H059

DOI:10.12339/j.issn.1673-8578.2026.01.031

Research on Network Semantic Evolution and Translation Strategies of Interdisciplinary Terms of Science and Engineering from the Perspective of Big Data//LI Wenzhuo

Abstract: With the wide application of big data technology, the semantics of interdisciplinary terms in science and engineering are constantly evolving, and their network semantic features show a complex trend of dynamic, multidimensional and nonlinear interweaving. Based on the theories of terminology, semantics and big data analysis, this paper constructs a research framework of semantic evolution, and analyzes the semantic change path of terms under the driving factors of interdisciplinary, technological evolution and network communication by constructing a structured database of terms and using tools such as BERT and corpus analysis. Furthermore, it puts forward translation principles with accuracy, consistency and adaptability as the core, and puts forward translation strategies such as the combination of transliteration and free translation, context analysis, dynamic tracking and standardization, aiming at improving the scientific and forward-looking terminology translation and promoting academic exchanges and knowledge sharing.

Keywords: big data; science and engineering; interdisciplinary terminology; network semantics; evolution; translation strategy

在新兴交叉学科不断涌现的当下,术语作为知识载体,其语义边界正经历前所未有的松动与重构。（剩余4137字）