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This paper reports on a translation project launched at Xi’an International Studies University (XISU) in 2017 that focuses on political news published by Hanban, which offers a platform for instructions and services for Chinese language and culture globally. Assisted by the metaphor identification method MIPVU (Metaphor Identification Procedure from Vrije Universiteit) and the data retrieval software HyConc, metaphors in the self-established corpus were efficiently and comprehensively identified. The metaphors were classified into 12 categories based on metaphorical images in the source domains. Next, an analysis of the cultural, communicative, and political characteristics or features of the metaphors was conducted under the framework of semiotics by using a diversity of images of the metaphors’ corresponding signifier and signified to trace the emergence, processing/understanding, and transformation of the metaphors through translation. Ultimately, three feasible translation techniques are proposed that are suitable for different types of metaphors: 1) preserving the metaphorical image, 2) preserving the metaphorical image with annotation, and 3) transforming the metaphorical image, in pursuit of providing reference for translators in related translation practice.

A Semiotic Perspective of Metaphor Translation: An analysis of political news reported by Hanban for the Confucius Institute