数字人文视角下“一带一路”能源话语的多模态翻译体系构建

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Abstract

针对 “一带一路” 能源合作数字化传播需求，本文从数字人文角度构建能源话语多模态翻译体系。整合语料库、人工智能与可视化技术，提出 “数据—技术—应用” 三层架构：数据层以多模态语料库与双轨知识图谱锚定语义；技术层借 Transformer 和 CLIP 模型实现跨模态翻译与可视化分析；应用层形成 “机器初译—智能适配—专家审核” 标准流程。实证显示，该体系使术语翻译一致性达 98%，文化冲突减少 72%，中老铁路电站等案例受众理解度提升 55%。研究为跨文化能源话语传播提供技术与理论支持，同时指出小语种数据不足、政策术语更新滞后等局限，为后续研究指路。

Keywords

数字人文

“一带一路”

能源话语

多模态翻译

人工智能

跨文化传播

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