3 papers
cs.AI2026
"I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
Eleanor Taylor-Stilgoe, Félix do Carmo, Constantin Orăsan
In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers. Though…
cs.CL2026
IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages
Diptesh Kanojia, Archchana Sindhujan, Sourabh Deoghare +14
Indic quality estimation (QE) and automatic post-editing (APE) data is spread across separate releases, so no single resource supports training and evaluation across tasks and lang…
cs.CL2025
Integrating automatic speech recognition into remote healthcare interpreting: A pilot study of its impact on interpreting quality
Shiyi Tan, Constantin Orăsan, Sabine Braun
This paper reports on the results from a pilot study investigating the impact of automatic speech recognition (ASR) technology on interpreting quality in remote healthcare interpre…