A fluent understanding of NMT—neural fluency—is a must for localization departments who need to constantly do more with less for the globalization efforts of their multinational companies. Continue reading
machine translation
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
Researchers analyzed the impact of introducing a Spanish machine translation system to eBay’s platform and found direct and positive causal links between machine translation adoption and economic activities. Continue reading
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Microsoft’s “human parity” claims drew skepticism from a team of neural machine translation researchers as they found that much of the research and industry community is looking at the problem from the wrong angle. 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
Google launches a new service called AutoML Translation in beta that lets users upload translated language pairs to train machine translation engines. Continue reading
Translation productivity startup Lilt adds tech industry veteran and Sequoia Capital Partner Bill Coughran to its board of directors and steps up hiring. Continue reading
Police arrest man for possession of 14 pounds of illegal drugs, but the case does not hold up in court because Google Translate was used to ask the defendant for permission to search his vehicle. Continue reading
Some familiar names helped pushed May 2018 to the top of the charts in terms of neural machine translation research. Meanwhile, the hottest research trends appear to be the race to better quality and translating low-resource, non-Latin languages. 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
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
Replacing current automatic quality scores is essential to advance the use and performance of NMT systems. A new, human quality index can dramatically improve NMT performance and adoption. Continue reading
What can secure machine translation do for a USD 10 billion a year technology giant? SDL’s MT solutions delivered exceptional security, reduced costs and consistently accurate translation. Continue reading
Professor Andy Way, Deputy Director of ADAPT Centre for Digital Content Technology, unpacks quality expectations for machine translation as the language industry increasingly favors neural MT as the new standard. Continue reading
Lingo24 saw steady revenue growth in 2017 while losses narrowed. The company expects its proprietary technology will help it to outcompete larger rivals and return it to profitability in 2018. Continue reading
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