A Study on Translating Performance Difference in the Present Participle and the Gerund between Secondary School Students and AI Translators
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study aimed to explore the performance differences in translating the present participle and the gerund functioning differently in the sentences into Korean. More specifically, it examined the discernment between the present participle and the gerund, both of which end with - ing. To that end, a total of 66 high school second year students as well as three AI translators (Papago, Google, and Kakao i) participated in the study. They translated six sentences having both the present participle in the present progressive tense and the gerund used as subject and subject complement in the sentences. One point was assigned to each sentence, implying the total score was 6, and the collected data were analyzed using the EXCEL program. One of the findings was that the students outperformed in translating the gerund, while the AI translators performed better in translating the present participle. Another finding was that the students and the AI translators employed varying wording for the same words and expressions in their translations. Another finding was that the types of register were varying in their translations. Given the intriguing findings, this study could be used as a guide for implementing translating activities and utilizing AI translators in English classroom.
Abstract
This study aimed to explore the performance differences in translating the present participle and the gerund functioning differently in the sentences into Korean. More specifically, it examined the discernment between the present participle and the gerund, both of which end with - ing. To that end, a total of 66 high school second year students as well as three AI translators (Papago, Google, and Kakao i) participated in the study. They translated six sentences having both the present participle in the present progressive tense and the gerund used as subject and subject complement in the sentences. One point was assigned to each sentence, implying the total score was 6, and the collected data were analyzed using the EXCEL program. One of the findings was that the students outperformed in translating the gerund, while the AI translators performed better in translating the present participle. Another finding was that the students and the AI translators employed varying wording for the same words and expressions in their translations. Another finding was that the types of register were varying in their translations. Given the intriguing findings, this study could be used as a guide for implementing translating activities and utilizing AI translators in English classroom.
참고문헌 (11)
- "Translation Activities in the Language Classroom" (2009)[URL]
- Brown, H. D., "Principles of Language Learning and Teaching" (2007), Longman
- Choi, I-C., "Practical English Use" (1997), ㈜현대영어사
- "What is translation?" (2020)[URL]
- Harmer, J., "Teaching and Learning Grammar" (1987), Longman
- Jackson, H., "Good Grammar for Students" (2005), Sage Publications
- "What is the present participle used for ?" (2019)[URL]
- 박태자, "A Study on the Performance Differences in Translating the Written Texts Derived from the KCSAT English", 통번역교육연구, 15(1), pp.55~78 (2017), 한국통번역교육학회[DOI]
- 박태자, "A Study on the Performance Differences in Translating the Adjectives and Adverbs in the Same Form", 통번역교육연구, 17(2), pp.21~41 (2019), 한국통번역교육학회[DOI]
- "What Is Translating?" (2015)[URL]
- 김연수, "외국어 교육을 위한 통번역 교수법 활용 가능성 고찰", 통역과 번역, 19(1), pp.1~16 (2017), 한국통역번역학회[DOI]