Automating Machine Translation Quality Estimation Gains Traction
Interest in automating machine translation quality estimation increases with the prevalence of large language models, but still has some way to go to be deployed at scale.
machine translation quality estimation
Slator Pro Guide: Translation AI
The Slator Pro Guide: Translation AI is a vital and concise guide to applying large language models (LLMs) in translation workflows, featuring 10 practical use cases.
Next Generation Localization Software with Phrase CEO Georg Ell
Georg Ell on his first 15 months leading Phrase and how they are prioritizing capabilities such as quality estimation, no-code workflow automation, TMS, and dynamic MT engine routing.
Slator Machine Translation Expert-in-the-Loop Report
60-page report on interaction between human experts and AI in translation production; includes AI-enabled workflows, adoption rates, postediting, pricing models.
Good, Bad or Loose: Amazon’s New Subtitle Quality Estimation System
Amazon Prime Video researchers have developed a new quality estimation system for subtitle translations, which tells you when post-editing or rewrites are needed.
Machine Translation Quality Estimation: Memsource’s Latest AI-powered Feature
Memsource has released a second AI-powered feature, Machine Translation Quality
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