영상번역교육을 위한 코퍼스 설계
Screen Translation Corpus Design for AVT Training
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This paper explores requirements for multimodal corpus design under the premise that special corpus for English-Korean AVT translation training should be built. For this, firstly, it provides a critical overview of the usefulness of corpus-based translation learning and the uniqueness of AVT translation training. Next, it discusses requirements for screen translation corpus design which is able to take into account multiple dimensions of English-Korean AVT translation, introducing the procedure and outcome of sample corpus preparatory to the screen translation corpus. This paper argues criteria for determining the size, scope, and range of the corpus. It also proposes how data should be annotated to help AVT trainees develop traditional linguistic, communicative, cultural skills and improve paralinguistic and technical competence. The argument and proposal is given on the basis of the outcome of the sample corpus. The research result indicates that the mutimodal corpus can offer valid data in a systematic way for AVT translation training.
Abstract
This paper explores requirements for multimodal corpus design under the premise that special corpus for English-Korean AVT translation training should be built. For this, firstly, it provides a critical overview of the usefulness of corpus-based translation learning and the uniqueness of AVT translation training. Next, it discusses requirements for screen translation corpus design which is able to take into account multiple dimensions of English-Korean AVT translation, introducing the procedure and outcome of sample corpus preparatory to the screen translation corpus. This paper argues criteria for determining the size, scope, and range of the corpus. It also proposes how data should be annotated to help AVT trainees develop traditional linguistic, communicative, cultural skills and improve paralinguistic and technical competence. The argument and proposal is given on the basis of the outcome of the sample corpus. The research result indicates that the mutimodal corpus can offer valid data in a systematic way for AVT translation training.
참고문헌 (36)
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