From technology, markets, and M&A to investment and the competitive landscape, the language industry leaders we interviewed in 2018 commented on a wide range of issues – here are our top picks. Continue reading
John Tinsley
What’s behind the arcane research paper that Baidu helped spin into a machine translation breakthrough celebrated across the media? Continue reading
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018. Continue reading
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Servers in Iceland. A million words per second. Record BLEU scores. The founders of Linguee launch their neural machine translator DeepL with bold claims. Experts agree that DeepL will challenge other MT players but call the output far from revolutionary. Continue reading
Google publishes a tutorial on how to build a neural machine translation model from scratch in a push to accelerate adoption of its machine learning framework Tensorflow. Experts call the announcement important, but say production deployment requires much more than a tutorial. Continue reading
Europe continues to ramp up research in language technology. The number of papers published on machine translation in an academic journal has reached the highest number in more than a decade. Continue reading
SlatorCon London was attended by over 60 senior language industry executives. We took the opportunity to talk about translation productivity with Lilt’s Spence Green, neural MT with Iconic’s John Tinsley of Iconic, and language industry M&A with Simon Baertl from William Blair & Company. Continue reading
Inaugural SlatorCon gathers more than 60 senior language industry executives, investors, technologists, and buyers in London. Discussions range from neural machine translation (NMT), translation productivity, procurement, to venture capital investment and M&A. Continue reading
Mark Zuckerberg looks forward to “making universal translation a reality” by open sourcing a new approach to neural machine translation. NMT expert impressed by faster training times of the new models but cautions against inflated quality expectations. Continue reading
When Google’s CEO goes on stage and measures translation accuracy to the third decimal place, it is as good a time as any to take a closer look at the yardstick he uses. A short introduction to BLEU Continue reading
Google’s live production deployment of neural machine translation sets a milestone for language translation. A dozen of the world’s leading MT experts provide perspective on the roll-out and Google’s Mike Schuster responds to charges of overstating quality improvements. Continue reading
After years of third parties mining its data, the UN publishes a vast corpus of its documents from the past 25 years for its six official languages. Experts talk to Slator about what the 2016 UN Parallel Corpus means for an industry starving for high quality text data. Continue reading
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