How To Improve Post-Editing Capabilities of Large Language Models
University of Maryland researchers demonstrate that guiding large language models with external feedback on quality...
University of Maryland researchers demonstrate that guiding large language models with external feedback on quality...
The Post-Edit Me! project supports educators in developing innovative post-editing training practices, fostering enhanced post-editing...
MotionPoint introduces Adaptive Translation™ technology to reduce human translation costs without sacrificing quality.
The European Union’s Translation Centre gives guidance on daily post-editing output in a new multi-million...
Microsoft’s NTREX-128, the second largest human-translated test set, is another benchmark for the evaluation of...
LanguageWire, a Danish tech-enabled language service provider, has achieved the top position in CSA’s latest...
All you need to know about how you score against postediting translation speed standards and...
60-page report on interaction between human experts and AI in translation production; includes AI-enabled workflows,...
Natural language generation (NLG) startups can help content creators write copy in multiple languages. But...
NeTTT conference brings together academia, industry, and EU institutions, highlights new trends in translation and...
Natural language processing scientists from Lilt train model on human translation errors. The goal, to...