Changes in web search query behavior of English-to-Chinese translation trainees

Abstract

This article delves into the evolution of web search query behavior among translation trainees over a semester, using a repeated measures design. While prior research in Translation Studies has predominantly focused on information-seeking patterns and types of resources used, a crucial gap remains in understanding the web search query behavior of diverse translation practitioners. Specifically, this investigation analyzes intra-subject and inter-task level changes in web search query behavior within a group of 19 first-year master's students enrolled in an English-to-Chinese translation course, building upon key literature in the field. The statistical analysis conducted reveals changes in the examined variables—query time, complexity, and language—highlighting the importance of targeted research and training to enhance web search skills and search engine proficiency. These findings carry relevant implications for translation practitioners, particularly as new AI technologies continue to expand and enhance their search toolbox and skillset.