Human-computer Collaborative Translation Work Model Based on the Use of Translation Management System

With the rapid development of translation technology and the high demand for intercultural communication, human-computer collaboration has emerged as a promising approach to providing high-quality and efficient translation services. This paper takes a real-world translation project with high complexity and tight time constraints as a case study. It elaborates on the human-computer collaborative translation workflow based on a translation management platform from four crucial aspects: selection of the platform, team composition and role division, design of collaborative workflow, and setting of editing and proofreading standards. The analysis not only highlights the advantages of this mode, such as increased efficiency and improved quality control but also discusses the challenges it poses, such as security and privacy issues, offering valuable insights for the future development of translation practices. This research provides a practical guide for leveraging human-computer collaboration in translation projects and paves the way for more innovative approaches in the field.