CHORUS: Designing Human-AI Multi-Agent Collaboration for Professional Translators — (2026)

1 More Paper · Oct 7, 2026 · 41m · transcript

Despite the widespread use of automatic AI translation systems in daily language tasks, professional translation remains crucial in domain-specific and high-stakes scenarios. Yet professional translators rarely rely on these systems in their everyday practice due to a lack of detailed support for the translation process, matching professional styles, and accountability for the final outcome. To bridge the gap, we present CHORUS, a mixed-initiative translation system that supports the translation process and personal style as translators work. A formative study found that incorporating MQM…