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 terms), and reduces false positives on source/target inconsistencies.
We’ll cover a practical, CAT/TMS-friendly workflow: segment the text, preprocess it for context, run criteria-first prompts, and provide feedback on annotated XLIFF for focused post-editing.
Expect a pragmatic playbook: real examples, and what actually moves MTPE time.
About Marco: is the CEO & Co-Founder of LanguageCheck.ai, and Lecturer in Engineering Management and in Interpreting and Translation (DIT) at the University of Bologna
About Nimdzi Live: There is a shadow industry driving the growth of ALL global brands: Localization. Let’s talk globalization, localization, translation, interpretation, language, and culture, with an emphasis on how it affects your business, whether you have a scrappy start-up or are working in a top global brand.
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