AI empowers the construction of an internationalization path for foreign language services to assist the digital economy: The construction of a foreign language service community integrating government, industry, academia, research, and application

Abstract

In the internationalization of the digital economy, the efficiency and accuracy of cross-language information flow constitute a key bottleneck. Traditional foreign language service models, due to fragmented agents and insufficient technical adaptation, struggle to meet the demands of high concurrency and heterogeneity. Based on the concept of a foreign language service community, this study constructs an AI-empowered architecture: it establishes a multi-agent ecological cooperation mechanism (niche nesting, dynamic coupling, distributed trust); it designs a digital company matrix and infrastructure integration architecture (capability pedigree classification, heterogeneous integration of the semantic computing layer and the transmission network, lightweight gateway and service bus); and it forms a talent resource support system (skill stack iteration algorithm, generative AI training environment, cross-border knowledge distillation and transfer). This framework achieves the systematic integration of ecology, infrastructure, enterprise, and talent, providing a computable technical solution for foreign language services to support the internationalization of the digital economy