Paradox of poetic intent in back-translation: evaluating the quality of large language models in Chinese translation
Regular Papers|Updated:2026-01-07
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Paradox of poetic intent in back-translation: evaluating the quality of large language models in Chinese translation
Enhanced Publication
反向翻译中的诗意悖论:大语言模型的中文翻译质量评估
“In the realm of natural language processing, this study introduces its research progress by establishing the LLM-BT framework to evaluate Chinese translation quality. The study provides solutions to address the limitations of traditional tools in handling culturally and semantically rich Chinese texts, opening up a new direction for research in cultural natural language processing and multilingual LLM alignment.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 11, Pages: 2176-2203(2025)
Affiliations:
1.Department of Computer Science, University of Brasilia, Brasilia 70919-900, Brazil
2.Department of Mathematics, Federal Institute of Brasilia, Brasilia 71200-020, Brazil
Li WEIGANG, Pedro Carvalho BROM. Paradox of poetic intent in back-translation: evaluating the quality of large language models in Chinese translation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2176-2203.
DOI:
Li WEIGANG, Pedro Carvalho BROM. Paradox of poetic intent in back-translation: evaluating the quality of large language models in Chinese translation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2176-2203. DOI: 10.1631/FITEE.2500298.
Paradox of poetic intent in back-translation: evaluating the quality of large language models in Chinese translationEnhanced Publication