From DLD Tel Aviv: Google announces neural network to improve machine translation From DLD Tel Aviv: Google announces neural network to improve machine translation Gregory P. Bufithis Esq. Founder/CEO 27 September 2016 (Tel Aviv) - For the past three years I have tried to keep to a reduced conference circuit ... but I have failed. @tachyeonz
Disconnect: no, machine translation is not about to break the language barrier
Unbabel raises $23 million from Microsoft Salesforce others to grow its machine-human translation platform - Unbabel a machine translation platform that uses humans to verify translated content has raised $23 million in a series B round of funding from Microsoft Ventures Salesforce Ventures Samsung Next Scale Venture Partners Notion Capital Caixa Capital and Funders Club. - business financing updates
GitHub - lium-lst/nmtpytorch: Neural Machine Translation Framework in PyTorch
This cat has the strangest, humanlike face with eyes that look as if they can see right through you. We don’t know whose cat this is, and the earliest appearances of the photograph are in various languages I cannot read. Using a machine translation, none appear to identify him. Some compared him to the Middle-Earth wizard Radagast from the movie The Hobbit, probably for his drooping whiskers and bulbous nose. But perhaps another movie would have a more appropriate role for him. -via...
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Google unleashes deep learning tech on language with Neural Machine Translation
Why Computers Suck At Translation Machine translation’s a useful tool, don’t get me wrong. But if you actually try to use it for regular conversation, it’ll fall down really quickly. What makes it so difficult? By: Tom Scott.