How was December business for LSPs? What are the most-used MT services? Should the EU rethink its translation RFPs and tests? What’s the language industry outlook for 2020? Continue reading
At SlatorCon Amsterdam 2019, One Hour Translation’s Yaron Kaufman shared his strategy for showing customers why now is the time to adopt machine translation. Continue reading
Four college students harnessed recent Google Cloud releases to build a translation app that works offline and makes forms accessible to users with disabilities. Continue reading
Google has admitted machine translated content is a challenge to ranking algorithms. Researchers at the University of Tokyo may have found a solution: back-translation. Continue reading
A practical guide for buyers on how to put neural machine translation’s impressive capabilities to practical use in real-life localization workflows Continue reading
Mixed reactions from linguists and industry experts as search giant shelves its in-house translation productivity tool Translator Toolkit, which failed to gain real traction since launching in 2009. Continue reading
New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show. Continue reading
Virtual assistants are already part of the e-commerce setting, but taking them multilingual and training them for conversations with multiple variables still poses challenges. Continue reading
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main end-buyer industries, competitive landscape, productivity tech, NMT and much more. Continue reading
Google I/O and Microsoft Build 2019 were short on big language tech reveals, although relevant announcements and previews were sprinkled throughout both events. Continue reading
How a simple language-learning shortcut using Google Translate went viral and inspired newbie app localizers to try a DIY approach to localization. Continue reading
Amazon, Google, Microsoft are adding features, platforms, even certifications to their MT offerings, slowly but steadily encroaching on LSP territory. Continue reading
Google is concerned it might be mistakenly assuming genders in machine translation; initial effort to reduce gender bias only the first step in dealing with similar challenges in neural machine... Continue reading
Google launches a new service called AutoML Translation in beta that lets users upload translated language pairs to train machine translation engines. Continue reading
Neural machine translation increasingly being adopted in the media with zero editing as Business Insider copy-pastes Google translated Chinese government statement. Continue reading
This information will never be shared with third parties. No Spam.