earticle

영어

The purpose of this study is two-fold: (1) to show what problems exist in machine translation post-editing performed by translation students and (2) to suggest what should be considered in an undergraduate course on post-editing. To achieve this purpose, the researcher analysed data from a real post-editing project in which five junior students majoring in English-Korean translation post-edited Google Translate output. The source text is a medical text (consisting of about 780,000 words), written by a U.S. medical centre for the benefit of the general public. The product of the students’ post-editing was to be used for a smartphone application that would provide multilingual diagnosis services for ordinary people. The post-editing output was evaluated, using Mossop’s (2014) revision parametres: accuracy, completeness, logic, facts, smoothness, tailoring, sub-language, idiom, mechanics, layout, typography, and organisation. A close analysis of sample data revealed four problems: the students (1) performed monolingual post-editing in an inappropriate manner, (2) tried to resolve word-level issues without considering co-text, (3) paid scant attention to unnatural or ungrammatical language forms, and (4) had great difficulties in revising (translating) medical terminology. The implications of the findings for post-editor training are also briefly mentioned in the context of undergraduate translator training.