Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Promise and Pitfalls of LLMs in Poetry Translation: A Case Study of Li Bai's "Invitation to Wine"
0
Zitationen
1
Autoren
2026
Jahr
Abstract
The rise of Generative Artificial Intelligence is reshaping the practice of poetry translation. Using Li Bai's "Invitation to Wine" as a case study, this research compares an English translation generated by ChatGPT with the classic version by Xu Yuanchong. Through close reading across the dimensions of structure, culture-loaded terms, and rhythm, the study finds that while LLMs can produce grammatically correct and semantically coherent translations proficiently, significant gaps remain compared to human artistry. ChatGPT's output tends to be prosaic in form, literal in handling cultural imagery, and deficient in conscious rhythmic design.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.644 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.550 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.061 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.850 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.