AI RESEARCH
Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows
arXiv CS.CL
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ArXi:2605.31452v1 Announce Type: new Building on our previous work, this paper develops practical, low-barrier methods for freelance translators and smaller language service providers to evaluate translation technologies using rigorous yet accessible analytic methods. Here we address a high-stakes, specialized need: offline translation for confidentiality-sensitive domains in which privacy constraints preclude the use of cloud-based engines and commercial LLMs.