As cross-cultural research becomes increasingly
common, researchers frequently face the challenge of
translating survey instruments, experimental materials,
and research communication across languages. Recent
advances in large language models (LLMs) offer new
possibilities for improving translation efficiency and
consistency. In this session, I will demonstrate how LLMbased
tools can assist researchers in translating research
materials, comparing AI-generated translations with
traditional translation workflows. The talk will also discuss
practical considerations, including prompt design,
verification strategies, and potential limitations when
using AI-assisted translation in academic research. The
session will include a short live demonstration of how LLM
tools can be used to translate and refine survey
instruments in multilingual research projects.