Using Large Language Models for Research Translation: Methods, Reliability, and Practical Applications

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 LLM based 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.