A ChatGPT-driven Study of Translating and Post-editing Chinese Enterprise Publicity Materials

Abstract

The China Import and Export Fair (a.k.a. Canton Fair), the first promotion platform for China’s foreign trade, is a key topic for academic and business discussions. Driven by ChatGPT, the present study first constructs a bilingual database concerning the Canton Fair, and then compares the ChatGPT-generated and human-translated multimodal texts such as exhibition invitation letters and main visual images of the Fair. One of the findings is that artificial intelligence can help translate in a top-down way, that is, from a macroscopic and three-dimensional knowledge framework to language usage at a microscopic level, which is different from the previous bottom-up translation practice, teaching, and research. In addition, the comparison of different translations can also provide empirical rules and insights for writing, translating, and post-editing enterprise publicity materials in the new artificial intelligence era.