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
After raising an estimated RMB 45m (USD 6.7m) from Sogou Inc., translation corpus and technology vendor UTH is now purportedly valued at over RMB 600M. UTH Executive VP tells Slator funds will be invested into R&D activities and growth through acquisitions. Continue reading
In early September, Copenhagen will become the center of the machine translation universe as hundreds of researchers gather in the Danish capital to learn whose system performs best. Continue reading
In the global enterprise, content submitted for machine translation is often highly sensitive. SDL’s engineers and linguists have teamed up to develop neural machine translation that produces high-quality output and can be deployed on-premise or in a Private Cloud with minimal support. Continue reading
Facebook says it has completed transitioning to neural machine translation models in its backend systems. Factoring in slang, typos, abbreviations, and all shades and nuances of social media posts, will this really result in more fluent translations? Continue reading
SDL posts 5% revenue growth but expansion into new verticals and in Asia hits gross margins. CEO Adolfo Hernandez discusses what affected the bottom line in the first six months, his plans for improving translator productivity, and why he’s not afraid of Amazon. Continue reading
Engineers at Booking.com built a production-level neural machine translation system based on Harvard’s OpenNMT framework and run on Amazon Web Services infrastructure. 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
Which sectors and units within banking and finance buy language services? And what are the job titles of the people making the decisions? Download our brief guide for language service providers on how to grow their business in the financial industry. Continue reading
RWS delivers yet another set of strong results as share price hovers near all-time high. Revenues are up 35% and operating profits up 28% in the first six months of the financial year. Chairman Andrew Brode says they occasionally compete with TransPerfect but would never consider buying them. 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
We asked our readers and two thirds say their businesses are growing and nearly half expect an outsider to disrupt the language industry. Many respondents consider French, Japanese, and Arabic as hard to source. And many of those polled still have lots of clients who do not ask for translation memory discounts. Continue reading
Google Translate hides in plain site at annual developer conference. The talk was mostly about AI and the search giant’s proprietary processors that power neural machine translation. And then there was CEO Sundar Pichai introducing Google Lens, translation feature and all. Continue reading
E-commerce platform GetYourGuide localizes 30,000 tours and activities into 14 languages in real-time. An early adopter of adaptive machine translation, the company works closely with professional translators for much of its content, but prefers machine translation for customer reviews. Continue reading
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