How Question Answering Can Transform AI Translation Evaluation – slator.com
Two recent papers explore how question answering (QA) can serve as a tool for automatic AI translation evaluation, pointing to a shift in how the language industry might approach translation quality assessment. The first paper from the University of Maryland and Johns Hopkins University, introduces ASKQE, a framework that generates factual questions from the source […]
Does Word-Level Quality Estimation Really Improve AI Translation Post-Editing? – slator.com
AI translation has become an integral part of translation workflows, with post-editing being a standard practice in the language industry. In this context, quality estimation (QE) has been proposed and integrated into many computer-assisted translation (CAT) tools to direct post-editors’ attention to segments that need revision. While segment-level QE enables translators to focus on problematic […]