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quality estimation
by Dace Dzeguze
07/03/2024Discover the advancements in TAUS QE Metrics V2.0, featuring a state-of-the-art cross-lingual transformer architecture for precise translation quality predictions.
31/01/2024Find 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.
by Dace Dzeguze21/12/2023Learn 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.
by Amir Kamran27/11/2023Unlock 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.
11/05/2023A look into how TAUS approaches the automatization of Translation Quality Review with the DeMT™️ Estimate API.
07/09/2020Quality 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.