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

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

The basic principles of machine translation engines

The basic principles of machine translation engines

What is the need for human translations?  Compared to machine translations, human translations are better in the context of literal meanings, scope as well as portraying emotions and purpose.

What is the need for human translations? Compared to machine translations, human translations are better in the context of literal meanings, scope as well as portraying emotions and purpose.

Machine translation is not about to break language barrier

Disconnect: no, machine translation is not about to break the language barrier

A recent column in the Wall Street Journal says we'll have near-real-time universal translation devices in ten years.

The Limits of and Prospects for Machine Translation – Part 1 bY Japanese Translation Services

The Limits of and Prospects for Machine Translation – Part 1 bY Japanese Translation Services

Facebook finishes its move to neural machine translation

Facebook finishes its move to neural machine

Here's a grammar revision activity from Philip Kerr's 'Translation and Own-language Activities', in which he considers the rationale for using translation.

Flittos language data helps machine translation systems get more accurate

Flitto’s language data helps machine translation systems get more accurate

Flitto’s language data helps machine translation systems get more accurate - X TECH NEWS

GitHub - lium-lst/nmtpytorch: Neural Machine Translation Framework in PyTorch

GitHub - lium-lst/nmtpytorch: Neural Machine Translation Framework in PyTorch

Some French Machine Translation Errors-  Se faire la belle - to take french leave

Some French Machine Translation Errors- Se faire la belle - to take french leave

#Human Vs #Machine Translation: Who Wins? Find out! #infographic

Human Vs Machine Translation: Who Wins?

3 Reasons Machine Translation Isn't Close to Human Translation by Douglas Karr on MarTech

Distributed TensorFlow  Reduce both experimentation time and training time for neural networks by using many GPU servers.  On June 8 2017 the age of distributed deep learning began. On that day Facebook released a paper showing the methods they used to reduce the training time for a convolutional neural network (RESNET-50 on ImageNet) from two weeks to one hour using 256 GPUs spread over 32 servers. In software they introduced a technique to train convolutional neural networks (ConvNets)…

Reduce both experimentation time and training time for neural networks by using many GPU servers.

Unbabel which combines human and machine translation for 70 languages raises $23M Series B from Microsoft Ventures Salesforce Ventures Samsung others (Paul Sawers/VentureBeat)   Paul Sawers / VentureBeat: Unbabel which combines human and machine translation for 70 languages raises $23M Series B from Microsoft Ventures Salesforce Ventures Samsung others  Unbabel a machine translation platform that uses humans to verify translated content has raised $23 million in a series B round…

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The Realist's Guide to Translation, Transcreation and Machine Translation - Infographic by EnVeritasGroup via slideshare

Different types of translation, like transcreation, localization and machine translation can work together to help businesses reach their global target markets…

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...

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...

BIDIRECTIONAL MACHINE TRANSLATION BETWEEN TURKISH AND TURKISH SIGN LANGUAGE: A DATA-DRIVEN APPROACH    Merve Selcuk-Simsek1 and Ilyas Cicekli2,3     1School of Computer Science, University of Manchester, UK 2Department of Computer Engineering, Hacettepe University, Turkey   3Department of Electrical Engineering and Computer Science, Syracuse University, USA      ABSTRACT      Communication is one of the first necessities for human beings to live and survive. There are many different ways to…

BIDIRECTIONAL MACHINE TRANSLATION BETWEEN TURKISH AND TURKISH SIGN LANGUAGE: A DATA-DRIVEN APPROACH

BIDIRECTIONAL MACHINE TRANSLATION BETWEEN TURKISH AND TURKISH SIGN LANGUAGE: A DATA-DRIVEN APPROACH Merve Selcuk-Simsek1 and Ilyas Cicekli2,3 1School of Computer Science, University of Manchester, UK 2Department of Computer Engineering, Hacettepe University, Turkey 3Department of Electrical Engineering and Computer Science, Syracuse University, USA ABSTRACT Communication is one of the first necessities for human beings to live and survive. There are many different ways to…

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