Earticle

초록

영어

This study explores how AI adoption has transformed translation workflows in an in-house translation team at a single Korean corporation, investigating the experiences and perceptions of four stakeholder groups: translators, project managers, translation requesters from other departments, and a department head. Semi-structured interviews with nine participants were analyzed through inductive thematic analysis, supplemented by the researcher's work log data. Findings indicate a progressive shift from translators' autonomous AI use toward an organization-wide adoption of machine translation post-editing (MTPE). Although participants broadly shared an awareness of AI's benefits and limitations, significant differences emerged across stakeholder groups in their assessments of text-type suitability for AI translation and the prioritization of quality versus speed. The translator's role is being redefined from that of a direct text producer to a quality controller of AI output, with linguistic and cultural judgment increasingly valued over AI operational skills. Notably, AI-enabled back-translation has given rise to a new dynamic in which non-specialist requesters scrutinize translators' professional decisions. This study contributes to translation studies by empirically documenting how AI adoption intensifies the structural invisibility of translation value within corporate organizations.

목차

1. 서론
2. 선행연구
2.1. 인하우스 통번역의 개념과 특징
2.2. 번역 산업에서의 AI 도입과 그 영향에 관한 선행연구
3. 연구방법
3.1. 연구 맥락 및 참여자
3.2. 자료 수집 및 분석
4. 연구결과
4.1. AI 도입과 번역 업무 프로세스의 재편
4.2. AI 번역의 효용과 한계에 대한 인식
4.3. 번역 품질과 신속성에 대한 기대
4.4. 번역사의 역할 재정의와 요구 역량의 변화
4.5. 조직 내 번역의 가치 인식과 미래 전망
5. 결론
참고문헌

키워드

저자

• 최수연 [ Choi, Souyon | 한국외국어대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  통번역학연구 [Interpreting and Translation Studies]

• 간기

  계간

• pISSN

  1975-6321

• eISSN

  2713-8372

• 수록기간

  1997~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 717 DDC 400