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AI interpreting is growing fast, especially in high-stakes sectors like healthcare. But the industry still uses machine translation metrics to assess interpreting accuracy that weren’t designed for real-time interpreting. Most evaluations rely on demos or single scores that don’t reflect real conve…
In this session, we will explore how we evaluated the translation quality of Google’s Gemma model using the MQM framework and a human-in-the-loop review process. The case study walks through how LLM-generated translations were assessed using structured error typology, how linguistic quality was be…
Join host Tucker Johnson, Lingoport’s Adam Asnes and Olivier Libouban as they explore innovative approaches to software localization that bridge the gap between design and development. Traditional localization methods often overlook the design phase, but by integrating localization early and automa…
MT can draft fast, but it often hides meaning errors behind fluent prose.In this session, Marco Baglioni demonstrates how modern LLMs, when used as judges rather than generators, deliver segment-level QA that identifies semantic shifts, enforces terminology (including inflections and multi-word ter…
Join Co-Founders, Josh Miller and Chris Antunes, of 3Play Media as they address the state of the world of AI Dubbing. The solution has been top of mind for many, including eLearning, corporate training, YouTube Creators, and the traditional media & entertainment industry, but exactly where is t…
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