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.
TensorFlow
Is TensorFlow ‘for Boomers’? PyTorch May Gain More Ground in Machine Translation
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.
Photo Gallery — SlatorCon San Francisco 2019
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.
Key Takeaways from SlatorCon San Francisco 2019
Industry leaders met at a sold out SlatorCon San Francisco to discuss market opportunities, technology, and investment trends, and to network with peers.
SlatorCon San Francisco 2019: Full Agenda Announced
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 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.
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.
How Language Featured at the 2019 Applied Machine Learning Days
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.
Amazon Pits Neural Machine Translation Framework Against Google, Facebook, Others
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 Pitches Tensorflow to Neural Machine Translation Developers
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.
We Went to Google I/O to See What’s New With Google Translate
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.
Systran Goes Neural, Lets You Try It
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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