LLMs exhibit large performance gaps in culture-aware translation, translation strategies systematically affect outputs, culture-specific items vary in difficulty, and models recognize cultural knowledge better than they use it correctly in translations.
InProceedings of the 2024 Conference on Empir- ical Methods in Natural Language Processing, pages 1068–1080, Miami, Florida, USA
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Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
LLMs exhibit large performance gaps in culture-aware translation, translation strategies systematically affect outputs, culture-specific items vary in difficulty, and models recognize cultural knowledge better than they use it correctly in translations.