The evolution of neural machine translation (NMT) from its origins to today: How did NMT become a game changer for doing business globally?
AI and Machine Translation
Machine Translation Report
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Prague, Czech Republic - 15 June 2021 - Memsource, the AI-powered translation management system, has expanded its support for machine translation by integrating Tencent Cloud’s Tencent Machine Translation (TMT).
Machine translation adoption is on the rise, but questions still swirl around its benefits. Our latest Machine Translation Workshop brought together key MT experts to deliver answers—and much more.
Machine translation is an essential part of most localization tech stacks. It helps translate at scale and reduces translation spend. More and more resources are being put into the development of machine translation resulting in constantly improving engines and better quality translation output. But how does it work? How do you implement machine translation into your global strategy? Is the quality any good? We’re here to answer all of your machine translation questions.
Our second event in our Machine Translation Workshop Series focused on discussing different approaches to pricing machine translation post-editing (MTPE). The event featured a diverse panel of industry experts and brought together over 400 live viewers from all over the world.
Our data shows that 2020 was the first year in which projects completed using post-edited machine translation (MT) outnumber those that relied on human translation. We couldn’t have picked a better time to release Memsource Translate.
With the successful Machine Translation Workshop Series kick-off behind us, we’d like to take a moment to thank the diverse panel for sharing their MT troubles and triumphs. The panel’s use cases stim...
To launch our new Machine Translation Workshop Series, we hosted a kick-off event that was packed with insights into machine translation, from implementation to adoption. What is the Machine Translat...