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Open-sourcing large language models is catching on among tech giants, such as Google and Meta. Now comes BLOOM, whose 1,000 contributors designed it with multilingualism in mind.
Since its 2017 debut, Sockeye has powered Amazon Translate and gathered decent traction elsewhere. The new version adopts Gluon base code and gets a boost from Intel and NVIDIA.
SlatorCon toured three global cities across Europe and the US in 2019 and featured 28 speakers representing the full breadth of the language industry.
NVIDIA Senior Deep Learning Engineer Chip Huyen details progress on MT challenges, including data requirements, sentence-length limitations, and imperfect quality evaluation techniques.
Industry leaders met at a sold out SlatorCon San Francisco to discuss market opportunities, technology, and investment trends, and to network with peers.
Over 120 language industry leaders will meet at the language industry’s premier executive forum in San Francisco on September 12. Browse the full agenda now.
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers.
Language plays a ubiquitous role across India’s top ten digital trends, according to consulting firm KPMG. The rising numbers of Indian language internet users expect more and more vernacular content.
Some familiar names helped pushed May 2018 to the top of the charts in terms of neural machine translation research. Meanwhile, the hottest research trends appear to be the race to better quality and translating low-resource, non-Latin languages.
Microsoft translates all of Wikipedia’s English pages in under a tenth of a second. Baidu rolls out open source, deep learning yardstick. Nvidia wants to power AI; and Amazon and Samsung update translation-related patents.
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