Unlock cost-effective translation workflows using Quality Estimation and Large Language Models for faster, high-quality results and discover how to optimize your translation process.
Discover the new TAUS Estimate API Demo Interface, designed to quickly assess the quality of machine translations. Save time, reduce costs, and boost productivity by identifying high-quality segments that don't require further editing.
Discover the enhanced TAUS Estimate API V2, featuring improved accuracy for 5 EU languages. Save up to 60% on post-editing efforts and reduce translation risks with our extensively trained generic model. Learn more and start your free trial today!
Find out how companies integrate QE into their workflows and explore real-world use cases and benefits of quality estimation. From mitigating risk in global chat communication to minimizing post-editing in machine translation workflows.
Learn about the distinctions between quality estimation and quality evaluation, the foundations of TAUS QE scores, and how to categorize and customize scores for optimal application.
Unlock the secrets of Machine Translation Quality Estimation (MTQE) with three key facts that demystify its distinctiveness, data-driven automation, and broader applications beyond cost reduction.
Quality estimation for machine translation is an active field of research in the NLP community. As a method that does not require access to reference translations, it may very well become a standard evaluation tool for translation and language data providers in the future.