Through five case studies and nearly 30 commentaries from the buy (enterprise, government, and more)- and sell-side (LSPs), this report shines a light on the sentiment of industry practitioners towards current-state NMT technology. Continue reading
The US government is asking for public comment to determine whether a range of “emerging technologies,” including machine translation, are essential to national security and should be subject to export controls. Continue reading
As AI is booming, the world’s largest natural language processing conference doubled in size this year and attracted 2,500 researchers. Global tech companies came looking for fresh talent. And research teams from across the globe battled it out on shared machine translation tasks. Continue reading
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We are going to have to attract and retain amazing talent to future proof the language industry’s workforce. Quora’s Lupe Gervas on how to take risks in hiring for localization teams able to cater to the next 1 billion users. Continue reading
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions. Continue reading
Facebook’s video-on-demand service, Facebook Watch, is now available to users worldwide, one year after it launched in the US, as the social media tech giant ramps up video content capabilities on the platform. Continue reading
Research submissions on neural machine translations ballooned from 91 in the first half of 2017 to 196 in the first half of 2018, although by July 2018 submissions were slowing down. Continue reading
The language industry is huge, worth around USD 40bn per year. Yet, unlike other industries of this size, there is no one single provider generating a billion US-Dollars in revenue. Here’s how it could be done. Continue reading
Professor Laura Burian, the new dean of the Middlebury Institute’s Graduate School of Translation, Interpretation, and Language Education, says her priority is to adapt the curriculum to prepare students to lead in a rapidly evolving language and technology market. Continue reading
As Facebook faces fundamental questions about its business model, understanding what content is being shared on the platform has become a top priority. With more than 2 billion monthly active users, language tech will play the decisive role. Continue reading
Facebook is open sourcing its unified deep learning framework PyTorch 1.0, the underlying technology that supports AI and many of its products including Translate. Continue reading
Research into neural machine translation in 2018 is exploding, with April 2018 being the busiest month ever for NMT, as Big Tech companies from Google to Facebook to Amazon go full throttle on multiple areas of research. Continue reading
In first trading update post Moravia acquisition, RWS says revenues jumped by 82% to GBP 139.6m and pre-tax profit was at least GBP 28.3m. While analysts continue to rate the stock a buy, the company lost over USD 250m in market cap in early London trading. Continue reading
Facebook is inviting the academic community to submit research proposals for a USD 20,000 to USD 40,000, one-year research grant starting June 2018. Facebook research will award up to four research proposals and is open to further research after evaluation. Continue reading
Facebook’s AI Research team delves into the neural machine translation black box and figures out a couple of ways to mitigate performance degradation due to intrinsic and extrinsic “uncertainties.” Continue reading
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