Modern Social Science Research

Nowadays, AI translation has become an indispensable tool in translation industry, supporting the global dissemination of Chinese culture. Although AI tools have significantly decreased translation costs, their output quality remains difficult to be guaranteed, making AI post-editing increasingly important. First of all, taking a tourism text as the case study, this research selects ChatGPT—a representative generative AI (GenAI) tool—and Google Translate—a traditional AI tool—as experimental instruments. Secondly, a structured prompt framework was designed to obtain original AI translations, which were then analyzed for translation quality from three dimensions: linguistic expression, cultural transmission, and functional realization. Based on this, AIPE optimization was conducted on the original AI translations. Hence, the main post-editing strategies such as syntactic restructuring, cultural compensation, and reader-position reconstruction were concluded, providing operational references for the translation practice of tourism texts. Lastly, the findings indicate that, within the growing trend of human-machine collaborative translation, AIPE owns its irreplaceable value in three aspects: refining language quality, conveying cultural connotations, and fulfilling textual functions.

English translation of tourism text; AIPE; Prompt words; Translation strategy