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Join experts from memoQ as well as TAUS and ModelFront to discover AIQE and beyond! In 2023, we introduced new functionality within memoQ TMS that revolutionizes translation quality estimation: users can now leverage predictive machine translation quality scores seamlessly within the memoQ TMS environment. Within memoQ’s translation editor, users can access quality estimates in real time, provided by the TAUS and ModelFront integrations. This feature enables users to maximize the benefits of machine translated content, leading to significant savings in both costs and time.
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After spending time as an engineer at Google Translate, Adam went on to become the founder and CEO of ModelFront, a company providing AI for more efficient human-quality translation. He is also the founder of the Machine Translate Foundation.
Amir Kamran joined TAUS in 2017 as a Senior Data Engineer and has since transitioned into the role of Solution Architect. His main responsibilities include collaborating with engineering and machine learning teams to create innovative solutions, developing language processing tools, and staying on top of trends to enhance TAUS' offerings. Prior to joining TAUS, he worked as a Research Developer for machine translation initiatives at the University of Amsterdam and Charles University in Prague.
Upon joining memoQ, Levente was an integral part of the memoQ support team. After learning the ins and outs of memoQ, especially maintaining memoQ TMS, he transitioned into a support engineer role. His area of expertise includes memoQ TMS related tasks, mainly migrating whole systems and overseeing the deployment of new memoQ TMS environments. He is also part of the memoQ release team which oversees the QA process and the release of newer versions.
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