Earticle

초록

영어

This paper addresses the quality and productivity issues in post-edited machine translation, analyzing Korean-English legal translation outputs produced in two ways: human translation and post-edited machine translation. For this study, two sets of translated texts were produced by professional legal translators and student translators. The quality of the raw machine translation by DeepL was assessed through automatic and manual evaluations, and its scores were compared with those of human and post-edited machine translation outputs. To investigate the productivity of post-editing, we analyzed the temporal and technical efforts involved in human translation as well as post-editing. The analysis indicated the superiority of post-edited machine translation both in terms of quality and productivity. Compared with human translation, post-editing improved the average number of processed words by about 20%, while significantly reducing technical efforts. Correction rates demonstrated that the major errors, which are related to accuracy, fluency, and terminology, in the machine translation output were effectively addressed through post-editing. Despite the limitations of this small-scale study, the findings suggest that post-editing has the potential to efficiently elevate the machine translation output quality to a level that surpasses that of human translation, and thus facilitates translation of legal texts of medium difficulty.

목차

Abstract
I. Introduction
II. Literature Review
1. Post-editing quality and productivity
2. Post-editing for Legal Texts
III. The Study
1. Research Methods
2. Results
IV. Conclusions
References

키워드

저자

• Jieun Lee [ 이지은 | Ewha Womans University ]
• Hyoeun Choi [ 최효은 | Ewha Womans University ]

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