earticle

영어

The need for Computer-Assisted Interpreter Training (CAIT) for students and lecturers in terms of self-study and teaching, increased during the COVID-19 pandemic as training shifted from in-person settings to online interactions. This study aims to find a direction for CAIT in Korea based on case studies abroad, examining and organizing the latest findings on CAIT tools. A survey was conducted on students attending the “T&I and Technology” course in order to assess the status of CAIT in Korea. Unlike overseas counterparts, Korea has had no research on interpreter training with regards to the use of smart pens and tablets, and very little research on the development of CAI. The survey also found that most students' tools were limited to pen and paper during most of their training. Furthermore, the survey revealed a very limited awareness and knowledge of available terminology management tools. The technologies that students wanted to use appeared in the order of terminology management tools, machine translation, speech recognition and generative AI. Through the survey, the need for future CAIT research and development was raised.