Decoding the Gap: Language Service Proficiencies of Multilingual Translators and Market Requirements in the AIGC Epoch

Abstract

This paper explores the discrepancies between the language service capabilities of multilingual translation talents and the demands of the translation market in the context of Artificial Intelligence Generated Content (AIGC). Based on these discrepancies, it proposes the reconstruction of the cultivation path for multilingual translation talents. With the deepening of globalization and the increasing frequency of cross-cultural communication, the market demand for multilingual translation services is continuously growing. Moreover, the rapid development of AIGC technology has brought new challenges and opportunities to the translation industry, especially in areas such as post-editing of machine translation, multimodal translation, data analysis and management. However, traditional translation talents have shown insufficient capabilities in meeting these emerging demands.