Application of Sentiment Analysis in Translanguaging and Translation

• 발행기관: 한국통번역교육학회
• 저자명: 정민경(Min-kyung Jung)
• 간행물 정보: 『통번역교육연구』제22권 제3호, 117~142쪽, 전체 26쪽
• 주제분류: 어문학 > 언어학
• 파일형태: PDF
• 발행일자: 2024.11.30

국문 초록

The purpose of this article is to emphasize the importance of sentiment analysis in translanguaging and translation. In sentiment analysis, “sentiment” refers not only to emotional feelings of love or hate, but also to opinions or attitudes. For this purpose, this study collected and examined three sets of original English transcripts and their Korean translations using the TED Corpus Search Engine (TCSE), developed by Yoichiro Hasebe at Doshisha University in Japan. With the data sets, this study performed BERT-based multilingual sentiment analysis on Google CoLab. The results revealed that sentence length and conjunction usage did not influence sentiment scores, whereas emotional or attitudinal words and phrases did affect the scores. These findings can lead to the development of new pedagogies and practical applications in the field of translation education. In addition, highlighting the significance of coherence and implicature, this study seeks to find the pragmatic or sentimental equivalence in the digital learning landscape.

목차

Ⅰ. Introduction

Ⅱ. Literature Review

Ⅲ. Data Analysis

Ⅳ. Discussion and Conclusion

References

키워드

트랜스랭귀징 감성 분석 응집성 함축 번역 교육 Translanguaing Sentiment Analysis Coherence Implicature TCSE Translation Education

참고문헌

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