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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- 2026-10-21 04:00 · arXiv cs.CL
Translating in style: An open-weight alternative to GPT-4 for culturally aligned machine translation