Keep up with best practices for translation and localization, new features, and updates by Memsource.
Machine Translation Report
What is the optimal MT Engine for you? Find out in the latest MT Report by Memsource.
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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.
If you use content to inform, influence, or connect with audiences in multiple countries and languages, a global content strategy is crucial. Why? Because it’s easy to waste a lot of resources creating, managing, and sharing content that has no impact – or worse, has a detrimental effect because it’s poorly targeted, written, translated, or localized.
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.
Transaction creates the translation industry's leading localization platform allowing Memsource to further expand its product portfolio, geographic footprint, and customer base
Memsource Mobile, the only fully-featured mobile localization app available on the market, now supports 16 new user interface languages. With this update, more translators and project managers all over the world will be able to take their projects anywhere they go, on their mobile and tablet devices
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...