earticle

영어

This study examines machine translation challenges and potential improvements in the translation of English passive voice sentences. It involved a comparative analysis between translations from the Papago machine translator and those edited by students, focusing on sentences with and without 'by' agents. The participants were 12 graduate students from a school of translation and interpretation and 12 undergraduate students. Additionally, a survey assessed the perceived utility of machine translation. The analysis showed that machine translations often maintained the original English word order, leading to issues such as incorrect subject-verb agreement and the presence of translationese. In contrast, student edits tended to adjust the translations to fit Korean syntax better. Both groups of students reported positive views on the usefulness of machine translation. This paper is to help produce better Korean translations of English passive voice sentences by comparing machine-generated and student-edited translations and considering feedback from a related survey.