AI-Driven Quality Assurance in Translation: Tools and Techniques
Adelinde H. Meyer · CSMFL Publications eBooks · 2024
Translation transforms content from one language to another, retaining the source meaning. Quality assurance ensures the translation meets clients’ expectations and end-users, as well as the expectations of translators themselves. QA checks translations against standards such as accuracy, fluency, readability, and style. Recently, AI and machine learning have dramatically changed the history of translation quality. They automate and enhance QA tasks, so the translation process is faster, more uniform, and adaptable. This chapter explores AI-powered QA tools and techniques. We’ll review how AI and ML refine translation quality management, including neural machine translation, enhanced QA, domain adaptation, and feedback mechanisms. This chapter also examines the implications of AI in translation for stakeholders like translators, clients, and academics. The focus will be on the challenges and prospects AI brings to the translation industry.