Concurrent translation on collaborative platforms

Abstract The advent of AI-supported, cloud-based collaborative translation platforms have enabled a new form online – ‘concurrent translation’ (CT). CT refers to commercial performed on such by multiple agents (translators, editors, subject-matter experts etc.) simultaneously, via concurrent access. Although the practice has recently gained more ground, research is scarce. present article reports selected key findings study that investigates translators’ experiences with survey 804 professional translators working in mode across different platforms. Despite affordances as peer learning, positive competition, speed, flexibility volume work and time, reduced responsibility stress, workflow comes its substantial challenges time pressure, negative self-revision research, all which result quality compromised for speed.