The most-cited neural machine translation research papers show how NMT came to dominate the field — and how academia and industry’s interests have evolved. Continue reading
SYSTRAN has been purchased by a consortium of Korean institutional investors: STIC Investments, SoftBank Korea, Korea Investment Partners and Korea Investment Securities. Continue reading
French machine translation provider SYSTRAN has a new owner, STIC Investments. Minority shareholders include SoftBank Korea, others. Plans M&A. Continue reading
The English-Turkish Dragoman translation model is available in all SYSTRAN translation solutions and on SYSTRAN Translate Continue reading
Technical issue with (now retired) Google Translator Toolkit prompts Internet giant to send apology email to users for data glitch, advising them what to do next. Continue reading
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
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 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
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
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
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
Systran's 2nd generation NMT engines allow users to access ‘real time’ features with the quality of NMT Continue reading
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers. Continue reading
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow. Continue reading
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