Earticle

초록

영어

Human translators are deeply worried that they might be replaced by machines capable of translating and interpreting through deep learning and big data analysis. This paper takes a complementary mindset rather than either-or mindset to shift translation’s relationships with machines from automation to augmentation. The objective of this study is to set out specific areas of works where humans can coexist with intelligent machines, turning this challenge into an opportunity to expand the scope of translation rather than diminishing it. This paper adopts a model from the business administration field as a framework. It is “five-paths toward employability” (Davenport & Kirby, 2015) based on “augmentation strategy” and “complementarity” (Autor, 2014). Based on the characteristics of translation in this changing world, I could derive employable areas for human translators in the age of AI: human translators can ‘step up’ as managers establishing a platform, overseeing the whole translation process, building corpus database and coordinating collaboration among participants; ‘step aside’ as communicators catering to the linguistic and cultural needs of each party; ‘step in’ as revisers conducting pre-editing or post-editing for translations done by machines; ‘step narrowly’ as translators doing works only humans can do like literary translation; ‘step forward’ as innovators or entrepreneurs creating new areas of business such as combining language service with voice recognition, applying augmented reality technology into translation.

목차

Abstract
 I. 들어가는 말
 II. 이론적 배경
  1. 기계화에 대한 긍정론과 부정론
  2. 증강이론
 III. 디지털 시대 번역 업무 분석
  1. 기계화 시대 번역
  2. 링크드인의 채용공고를 중심으로 본 번역가의 직무
  3. ‘기계화 시대에 살아남는 5가지 방법’에 적용되는 번역 업무
 IV. 결론
 참고문헌

키워드

저자

• 김순미 [ Kim, Soon Mi | 숙명여자대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  통역과 번역 [Interpretation and Translation]

• 간기

  연3회

• pISSN

  1229-6074

• 수록기간

  1999~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 717 DDC 400