Variation in the Adaptation of English into Korean: A ChatGPT-based Study

• 발행기관: 한국영어학학회
• 저자명: Ji Yea Kim
• 간행물 정보: 『영어학연구』제30권 4호, 65~82쪽, 전체 18쪽
• 주제분류: 어문학 > 영어와문학
• 파일형태: PDF
• 발행일자: 2024.11.30

국문 초록

This paper examines how the English letter in words, such as xylophone and xylitol, is adapted into Korean: as [s] in the former and as [c] in the latter. It is particularly notable that some lexical items show variation in the adaptation of in Korean, such as xanthan: [s], [c], and [kʰɨ.s]. By using ChatGPT (version: ChatGPT-4; OpenAI 2023), one of the most widely used large language models, the present study investigates whether and how this generative artificial intelligence chatbot predicts variation in Korean pronunciations of English words with that were selected from the Corpus of Contemporary American English (Davies 2008-). Results show that ChatGPT did not correctly predict reported variants in most cases: it either overpredicted or underpredicted the reported variants. Based on the results, this paper suggests two important factors that could help improve ChatGPT’s predictions: different origins of words (e.g., Greek) and different groups of words (e.g., chemical terminology).

목차

1. Introduction

2. Actual Study

3. Discussion

4. Conclusion

References

키워드

adaptation variation English Korean ChatGPT overprediction underprediction