Hugging Face Raises USD 40m for Natural Language Processing Platform
Hugging Face raises USD 40m series B to grow its natural language processing platform, which includes machine translation models.
Hugging Face raises USD 40m series B to grow its natural language processing platform, which includes machine translation models.
Developers praise PyTorch, Facebook’s open source framework, for its flexibility, speed, and usability. But the machine translation world is not ready to dethrone TensorFlow just yet.
SlatorCon SF 2019 photo gallery including photos taken at the Welcome Reception hosted by CyraCom and the main conference and Networking Reception hosted by memoQ.
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.
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.
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow.
Language industry startups Unbabel and Lilt took to the stage at one of Europe’s largest machine learning conferences and explained how they build atop evermore sophisticated AI tech.
Though Amazon announced its open-source, sequence-to-sequence machine learning framework Sockeye would be available to all last July 2017, its researchers waited until December 2017 to file papers into Arxiv so they can test their creation against WMT2017’s best.
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 announcement important, but say production deployment requires much more than a tutorial.
Google Translate hides in plain site at annual developer conference. The talk was mostly about AI and the search giant’s proprietary processors that power neural machine translation. And then there was CEO Sundar Pichai introducing Google Lens, translation feature and all.
Machine translation vendor opens demo version of its neural machine translation engine to the public; platform built on Torch. As with other NMT systems, model tends to improve fluency, but also produces new kinds of errors unseen in SMT.
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