Earticle

초록

영어

This study aims to identify key characteristics and factors in the translation methods of ChatGPT and an English native speaker when translating into English 100 Korean sentences comprising 50 onomatopoeia and 50 mimetic words. The analysis revealed several key findings: Firstly, both ChatGPT and the English native speaker preferred translating Korean onomatopoeia into verbs, whereas they favored translating mimetic words into adjectives or adverbs. The native speaker did this 40% of the time, compared to 32% for ChatGPT for onomatopoeia, and 72% versus 52% for mimetic words. Secondly, ChatGPT replaced Korean onomatopoeia with English equivalents at a rate of 22%, nearly double that of the native speaker's 12%. This suggests ChatGPT prioritized faithfulness to the original text, while the native speaker considered the socio-cultural context of onomatopoeia use in English. Thirdly, explicative paraphrase was the most consistently used technique for both types of word. Fourthly, omission was frequently employed in translation, often correlating with the choice of adjectives or adverbs by both ChatGPT and the native speaker. Finally, ChatGPT used transliteration for onomatopoeia, while neither translator used mimetic word techniques.

목차

Abstract
1. Introduction
2. Previous Research
3. Characteristics of Korean and English Onomatopoeic and Mimetic Words
4. A list of Korean Onomatopoeia and Mimetic Words
5. A Comparative Analysis of Onomatopoeia and Mimetic Word Translation Strategies: ChatGPT vs. English Native Speaker
5.1 Translation Methods and Strategies
5.2 Preference for Translation Strategies; ChatGPT vs. English Native Speaker
6. Conclusion
References

키워드

저자

• Wonbo Kim [ Jeju National University/Graduate School of Interpreting and Translating/Professor ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  언어학연구 [Journal of Linguistic Studies]

• 간기

  연3회

• pISSN

  1226-9859

• 수록기간

  1996~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 700 DDC 400