Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design
Machine interpreting (MI), the live, real-time application of speech translation, has achieved remarkable progress on standard benchmarks, with some systems approaching human parity on textual fidelity. Yet the user experience remains far inferior to interpreter-mediated communication, revealing what we term the accuracy illusion: systems that appear accurate on paper but fail in practice to support smooth, goal-oriented interaction. This paper defines MI as a distinct subfield of speech translation, with its own characteristics and the need for evaluation methods grounded in communicative effectiveness rather than isolated fidelity metrics. Drawing on insights from interpreting studies, ...
| Authors | Claudio Fantinuoli |
|---|---|
| Primary category | cs.CL |
| Published | 14 June 2026 |
| Last updated at source | 16 June 2026 |
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