Methodological Evolution in Multimodal Audiovisual Translation Research

This paper explores the evolving landscape of methodological approaches in multimodal audiovisual translation (AVT) research from 2015 to 2025. By situating AVT at the intersection of global media flows, technological advancements, and intercultural communication, it highlights the demand for effective translation that integrates sound, image, and text in a digitally-driven environment. This study identifies key challenges, including methodological fragmentation across various AVT subfields, the impact of emerging technologies like AI and machine learning, and the need for a cohesive framework to guide future research. It discusses major trends and innovations in AVT methodologies, emphasizing qualitative and quantitative approaches while advocating for interdisciplinary collaboration. The paper charts future directions in AVT research, focusing on overcoming fragmentation, enhancing technological integration, and addressing ethical implications surrounding AI in translation practices.