Scientific Development Research

With the continuous advancement of artificial intelligence (AI) technology, AI-assisted cross-cultural translation has gradually become an important approach in intercultural communication. However, due to the diversity of cross-cultural translation demands and the immaturity of current AI-assisted translation technologies, practical translation still faces several notable challenges. Based on the case of English translation of socio-cultural words, this paper explores the strategies and challenges of AI-assisted cross-cultural translation. The study finds that AI can effectively assist human translators in performing literal translation, free translation, and transliteration of culturally loaded expressions, as well as in evaluating and optimizing translation outputs. Nevertheless, current AI-assisted cross-cultural translation still suffers from issues such as cultural omission, semantic deviation, and nonstandard expression. This suggests that, in addition to improving theoretical models and translation strategies from a linguistic perspective, it is also necessary to enhance AI’s ability to process socio-cultural expressions from a cross-cultural communication perspective, so as to build a more reliable and adaptive AI-assisted translation ecosystem.

Artificial Intelligence; Cross-cultural translation; Socio-cultural words; English translation