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Translating in style: An open-weight alternative to GPT-4 for culturally aligned machine translation

arXiv:2610.23868v1 Announce Type: new Abstract: Machine translation systems often preserve meaning but systematically flatten linguistic style, a failure that is most acute when translating into non-Western languages. The RASTA framework of Havaldar et al. (2025a) addresses this through retrieval-a…

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  1. 2026-10-20 04:00 · arXiv cs.CL
    Translating in style: An open-weight alternative to GPT-4 for culturally aligned machine translation

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