Does Google’s BERT Matter in Machine Translation?
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation. Continue reading
Tag: John Tinsley
What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?
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
Language Industry Top Quotes of 2018
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
The Art of Hyping Machine Translation
What’s behind the arcane research paper that Baidu helped spin into a machine translation breakthrough celebrated across the media? Continue reading
Slator Neural Machine Translation Report 2018
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... Continue reading
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Linguee’s Founder Launches DeepL in Attempt to Challenge Google Translate
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... Continue reading
Google Pitches Tensorflow to Neural Machine Translation Developers
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... Continue reading
Here Is Europe’s State of the Art in Machine Translation Research
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
Video: Insights from SlatorCon London 2017
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... Continue reading
Inaugural SlatorCon London Sells Out as Execs Debate Growth Prospects
Inaugural SlatorCon gathers more than 60 senior language industry executives, investors, technologists, and buyers in London. Discussions range from neural machine translation (NMT), translation... Continue reading
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Facebook to Open Source Its Neural Machine Translation, Zuckerberg Announces
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... Continue reading
How BLEU Measures Translation and Why It Matters
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
Hyperbolic? Experts Weigh In on Google Neural Translate
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... Continue reading
UN Feeds 800,000 Documents to Translation Bots
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... Continue reading
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