Knowledge

In the third  video of The Essential Guide to Neural MT, Iconic's Global Head of Enterprise Sales, Diane O’Reilly,  shares some specific examples of natural language processing innovation by the life sciences industry. The life sciences sector is in a highly transformative stage. The world’s leading MedTech, pharma, and CRO organisations are now turning to machine learning and artificial intelligence technologies to assist them with digital...

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In the second video of The Essential Guide to Neural MT, Iconic's CEO, Dr. John Tinsley, looks at how the technology has evolved to where it is today. Also in this video, we're going to get into the weeds a little bit more about the state of Neural MT research, what people have been working on, which direction the research is going and what's still to do.

In the second video of the The Essential Guide to Neural MT, Iconic's CEO, Dr. John Tinsley, looks at how the technology has evolved to where it is today. Also in this video, we're going to get into the weeds a little bit more about the state of Neural MT research, what people have been working on, which direction the research is going and what's...

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ntro-to-Neural-Machine-Translation-Part-1-

In the first video of the The Essential Guide to Neural MT Iconic's CEO Dr. John Tinsley covers how Neural Machine Translation came about, what differences there are with it to previous approaches, and the impact that it has had both from a translation quality perspective but also from a practical perspective. [embedyt]https://www.youtube.com/watch?v=D1kSz6qZ288&t=18s[/embedyt] Sign up today to be notified when new videos in the series go live! ...

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NMT Issue 50 Previewing the 2019 Machine Translation Summit

Author: The Iconic Scientific Team! This week marks the 50th issue of The Neural MT Weekly. This is a remarkable milestone as we originally set out for this to be an 8-part series. However, as the pace of research in this area continued without cease, and our readership grew, we simply had to keep going. The research into these posts forms part of our weekly MT...

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NMT Issue 49 Representation Bottleneck in Neural MT

Author: Raj Patel, Machine Translation Scientist @ Iconic In Neural MT, lexical features are fed to the network as lexical representations (aka word embeddings) to the first layer of the encoder and refined as propagate through the deep network of hidden layers. In this post we’ll try to understand how the lexical representation is affected as it goes deeper in the network and investigate if it affects...

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It's all French Belgian Fries to me or The Art of Multilingual e-Disclosure Part II

Author: Jérôme Torres Lozano, Director of Professional Services, Inventus This is the second of a two-part guest post from Jérôme Torres Lozano, the Director of Professional Services at Inventus, who shares his perspective on The Art of Multilingual e-Disclosure. In Part I,  we learned about the challenges of languages in e-disclosure.  In this post he will discuss language identification and translation options available in e-discovery.  It’s all Greek to me! Earlier...

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