챗GPT, 파파고, 인간 번역가 간의 한영 문학번역 차이점 연구
Differences in Korean-English literary translation among ChatGPT, Papago, and human translators
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The present study explores stylistic and quality differences in English translations of a Korean short story by ChatGPT, Papago, and two human translators. Results of two types of quantitative analysis are reported. A PCA analysis showed that, in the distribution of 80 topmost frequent words, Papago was clearly distinguished from human translators while no such distinction was found vis-a-vis ChatGPT. In a follow-up manually-annotated creativity and quality analysis, Papago was again far from measuring up to human translators with near-zero creativity and numerous errors. ChatGPT also made many errors (about half of Papago’s) but exhibited a measure of creativity of the kinds seen in human translation. ChatGPT’s display of creativity, along with a significant reduction in errors compared to Papago, is attributed to ChatGPT’s ability to consider the context in comprehending the source text and transferring the meaning into the target language.
Abstract
The present study explores stylistic and quality differences in English translations of a Korean short story by ChatGPT, Papago, and two human translators. Results of two types of quantitative analysis are reported. A PCA analysis showed that, in the distribution of 80 topmost frequent words, Papago was clearly distinguished from human translators while no such distinction was found vis-a-vis ChatGPT. In a follow-up manually-annotated creativity and quality analysis, Papago was again far from measuring up to human translators with near-zero creativity and numerous errors. ChatGPT also made many errors (about half of Papago’s) but exhibited a measure of creativity of the kinds seen in human translation. ChatGPT’s display of creativity, along with a significant reduction in errors compared to Papago, is attributed to ChatGPT’s ability to consider the context in comprehending the source text and transferring the meaning into the target language.
참고문헌 (30)
- Hwang, S-Y., "The road to sampo" (2008), Avil
- Hwang, S-Y., "The road to sampo" (2012), Asia Publishers
- 류친, "GPT를 활용한 중-한 문학번역에 대한 고찰 : 장편 소설"인생(活著)"의 관용구 번역을 중심으로", 문화와융합, 46(1), pp.273~287 (2024)
- 마승혜, "문학작품 기계번역의 한계에 대한 상세 고찰", 통번역학연구, 22(3), pp.65~88 (2018)
- 이창수, "문학번역에서의 기계번역과 인간번역 문체에 대한 전산문체학적 비교 연구", 번역학연구, 20(2), pp.111~130 (2019)
- 이창수, "한영문학번역에서의 번역문체 연구", 통역과 번역, 14(2), pp.173~195 (2021)
- Burrows, J. F., "‘Delta’ : A measure of stylistic difference and a guide to likely authorship", Literary and Linguistic Computing, 17(3), pp.267~287 (2002)
- Guerberof-Arenas, A., "Creativity in translation : Machine translation as a constraint for literary texts", Translation Spaces, 11(2), pp.184~212 (2022)
- Halliday, M. A. K., "Constructing experience through meaning: A language-based approach to cognition" (1999), Continuum
- Ho, N-K. M, "Appraisal and the transcreation of marketing texts: Persuasion in Chinese and English" (2024), Routledge
- Kaindl, K, "Literary translator studies", pp.1~38 (2021), John Benjamins.
- Karabayeva, I., "Evaluating machine translation of literature through rhetorical analysis", Journal of Translation and Language Studies, 5(1), pp.1~9 (2024)
- Kolb, W., "Computer-assisted literary translation", pp.53~68 (2023), Routledge
- Malmkjær, K., "Translation and creativity" (2020), Routledge
- Merkle, D., "Handbook of translation studies, Vol. 1", pp.18~21 (2010), John Benjamins
- Moorkens, J., "Translators’ perceptions of literary post-editing using statistical and neural machine translation", Translation Spaces, 7(2), pp.240~262 (2018)
- O’Sullivan, C., "Handbook of translation studies", pp.42~46 (2013), Jonh Benjamins
- Pârlo, A-C., "Intersemiotic translation: Literary and linguistic multimodality" (2019), Palgrave
- Rothwell, A., "Computer-assisted literary translation" (2023), Routledge
- Sanchez, M. T., "The Problems of literary translation: A study of the theory and practice of translation from English into Spanish" (2009), Peter Lang
- Sanz-Valdivieso, L., "Google translate vs. ChatGPT: Can non-language professionals trust them for specialized translation?", International conference human-informed translation and interpreting technology HiT-IT, 2023, pp.97~107 (2023)
- Scott, C., "The work of literary translation" (2018), Cambridge University Press
- Toral, A., "Translation quality assessment: From principles to practice", pp.263~287 (2018), Springer
- Wehrli, E., "Anaphora resolution, collocations and translation", Proceedings of the workshop on multi-word units in machine translation and translation technology, pp.12~17 (2013)
- Youdale, R, "Using computers in the translation of literary style: challenges and opportunities" (2020), Routledge
- Zhao, A., "DUTNLP system for the WMT2023 discourse-level literary translation", Proceedings of the eighth conference on machine translation, pp.296~301 (2023)
