SlatorCon 2019 — Your Definitive Guide and Key Takeaways
SlatorCon toured three global cities across Europe and the US in 2019 and featured 28 speakers representing the full breadth of the language industry. Continue reading
Tag: Systran
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
SYSTRAN Partners with Taus to Provide the SYSTRAN Marketplace Community with Gold Data to Train Domain-specific Neural Models
SYSTRAN and TAUS have agreed to collaborate on creating a solid supply of data and models for trainers and developers of machine translation engines. Continue reading
As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products
At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called out some myths from vendors, and pointed out what’s missing from the industry. Continue reading
Highlights from Sold Out SlatorCon London 2019 — Photos, Videos, Themes
Over 100 participants gathered at the Bulgari Hotel in Central London to discuss what’s driving the language industry from AI and automation to emerging buyers and much more. Continue reading
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Slator 2019 Language Industry Market Report
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main end-buyer industries, competitive landscape, productivity tech, NMT and much more. Continue reading
The Art of Speeding up NMT with SYSTRAN 2nd Generation Engines
Systran's 2nd generation NMT engines allow users to access ‘real time’ features with the quality of NMT Continue reading
Corporates Going All in on Neural Machine Translation Research
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers. Continue reading
Is Google’s New Lingvo Framework a Big Deal for Machine Translation?
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow. Continue reading
Our Neural Network Just Learned Syntax!
Experience unprecedented integration of customer terminology with neural networks! SYSTRAN Pure Continue reading
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SlatorCon 2018—Your Definitive Guide And Key Takeaways
SlatorCon tour took in four global cities across three continents in 2018 and featured a grand total of 35 speakers representing the full breadth of the language industry from startups, language... 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
Ubiqus Tucks in Gedev to Expand in Aerospace and Defense
France-based language service provider Ubiqus has acquired boutique local rival Gedev, a specialist in aerospace and defense translation. Continue reading
How Ubiqus Deploys Neural Machine Translation in Language Operations
Ubiqus CEO Vincent Nguyen walked SlatorCon participants through Ubiqus’ one-and-a-half year journey towards implementing neural machine translation in production and how they are encouraging... Continue reading
Slator 2019 Neural Machine Translation Report—Deploying NMT in Operations
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... Continue reading
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