Learn about machine translation quality estimation (MTQE)

View and interact with the quality estimations of machine translation in the desktop and online editor as you work. 

Watch our video to see MTQE in action.

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Please note: this video is only available in English. View all our feature videos here.
Trados offers native support for Language Weaver MTQE - an AI-powered model that automatically evaluates the quality of Language Weaver translations. Unlike other MTQE tools, Language Weaver MTQE is uniquely trained by our in-house language specialists, using real-world post-editing scenarios and human expertise to deliver more accurate and reliable quality assessments. 
 
The model analyzes key factors such as fluency, adequacy, and accuracy, and assigns each segment a quality score. These results are presented directly within both the desktop and online editors using a simple color-coded system: green for good, yellow for adequate, and red for poor. 
 
This clear, visual feedback helps guide and streamline human review, significantly improving post-editing productivity. It can also be used proactively, offering a pre-translation assessment that indicates how well your content is suited for machine translation from the outset.

Key benefits

Rocket
Speed up the translation review process to boost efficiency
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Lower the overall cost of translation projects
Document (AI)
Achieve more reliable and consistent results with expert-trained AI
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Make smarter pre-translation decisions

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