TWB, Big Tech, Academia Take on Covid-19 Language Challenge
Collaboration between Amazon, Facebook, Google, Microsoft, etc., and Translators Without Borders aims to fight Covid-19 infodemic through machine translation research. Continue reading
Tag: low-resource languages
The Winning Papers from the World’s Largest Natural Language Processing Conference
The world’s largest NLP conference, EMNLP, announces the winners of the 2019 awards for Best Paper, Best Paper Runner-Up, Best Demo Paper and Best Resource Paper. Continue reading
Slator 2019 US Healthcare Interpreting Report
Slator’s 2019 report on the US healthcare interpreting market, analysis of the competitive landscape, buyer job titles, major hospital systems, and more actionable insights. Continue reading
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
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
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EU Awards USD 4.8m in Neural MT Grants for Low-Resource Languages
EU’s CEF grants 5 project proposals for the implementation, data collection, and integration of NMT for low-resource languages, a total of EUR 4.3m in funds. 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
How the Public Sector and Regulations Shaped Language Services Demand in 2018
The public sector was a significant source of contracts, conflicts, and developments for the language services industry in 2018. Here’s what you need to know. Continue reading
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