Application of Sentiment Analysis in Translanguaging and Translation
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
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.
Abstract
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.
참고문헌 (29)
- Baker, M., "In other words: A coursebook on translation" (2018), Routledge
- Canagarajah, S., "Translanguaging in the classroom : Emerging issues for research and pedagogy", Applied linguistics review, 2(2011) (2011)
- Canals, L., "Multimodality and translanguaging in negotiation of meaning", Foreign Language Annals, 54(3), pp.647~670 (2021)
- Flesch, R., "Flesch-Kincaid readability test", October, 26(3), pp.2007~ (2007)
- García, O., "Translanguaging: Language, bilingualism and education" (2014), Palgrave Macmillan
- Gordon, S. L., "Social psychology", pp.562~592 (1990), Routledge
- Hasebe, Y., "User’s Manual for TCSE (TED Corpus Search Engine)", ~ (2014)
- Hotho, A., "A brief survey of text mining", Journal for Language Technology and Computational Linguistics, 20(1), pp.19~62 (2005)
- Kim, H., "Visualizing textual similarity of Shakespearean suspect texts : An examination of the Henry VI plays", Digital Scholarship in the Humanities, 36(4), pp.919~933 (2021)
- Lewis, G., "Translanguaging : Origins and development from school to street and beyond", Educational research and evaluation, 18(7), pp.641~654 (2012)[DOI]
- Liu, B., "Introduction. In Sentiment Analysis: Mining Opinions, Sentiments, and Emotions", pp.1~17 (2020), Cambridge University Press
- Miah, M. S. U., "A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM", Scientific Reports, 14(1), pp.9603~ (2024)[DOI]
- Munezero, M., "Are they different? Affect, feeling, emotion, sentiment, and opinion detection in text", IEEE transactions on affective computing, 5(2), pp.101~111 (2014)
- Nasukawa, T., "Sentiment analysis: Capturing favorability using natural language processing", Proceedings of the 2nd international conference on Knowledge capture, pp.70~77 (2003)
- Petillo, M., "The use of subtitles in foreign language teaching : Exploring some sociolinguistic, cultural and translation features", Translation and Translanguaging in Multilingual Contexts, 9(2), pp.239~260 (2023)
- Sato, E, "Translanguaging in translation: Invisible contributions that shape our language and society (Vol. 3)" (2022), Channel View Publications
- Sato, E., "Translanguaging, translation and interpreting studies, and bilingualism. In The Routledge handbook of translation, interpreting and bilingualism", pp.328~345 (2023), Routledge
- Soohye, Y., "Use of Conjunctions as Cohesive Devices in Korean High School EFL Learners Argumentative and Descriptive Essays", 외국어교육연구(Foreign Language Education Research), 19, pp.19~43 (2016)
- "TED Talk subtitle translation guidelines"[URL]
- "Multilingual education: A key to quality and inclusive learning"[URL]
- "Multilingual education: A key to quality and inclusive learning"[URL]
- Venuti, L., "The translator’s invisibility : A history of Translation" (1995), Routledge
- Venuti, L., "The scandals of translation : Towards an ethics of Difference" (1998), Routledge
- Wei, L., "Translanguaging as a practical theory of language", Applied linguistics, 39(1), pp.9~30 (2018)
- Williams, C., "A language gained", Education Transactions (2002)
- "@misc {nlp_town_2023, author = { {NLP Town} }, title = { bert-base-multilingual-uncased-sentiment (Revision edd66ab) }, year = 2023, url = {https:", nlptown, pp.bert-base-multilingual-uncased-sentiment }, doi = { 10.57967, hf[DOI]
- 김동미(Dong-mie Kim), "텍스트마이닝(Textmining)기법을 활용한"제인 에어"아동용과 성인용 번역본의 어휘 텍스트 비교분석", 융합영어영문학(구. English Reading and Teaching), 8(3), pp.179~204 (2023)[DOI]
- 정희모(Chong Hee Mo), "한국어 교육과 결속성(cohesion)및 응집성(coherence)의 문제", 리터러시 연구, 10(4), pp.89~123 (2019)[DOI]