Blog

CodeX Meeting SLS

Iconic's CEO, Dr. John Tinsley, has been invited to speak at CodeX about Iconic's proprietary neural machine translation (MT) software solution for e-discovery. CodeX is a partnership between the Stanford Law School and the Department of Computer Science, which explores how information technology can enhance legal processes. Specifically, it brings together researchers, lawyers, entrepreneurs and technologists to work side-by-side in order to advance the frontier of...

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Issue-26-Context-and-Copying-in-Neural-MT

Author: Raj Patel, Machine Translation Scientist @ Iconic

When translating from one language to another, certain words and tokens need to be copied, and not translated, per se, in the target sentence. This includes things like proper nouns, names, numbers, and 'unknown' tokens. We want these to appear in the translation just as they were in the original text. Neural MT systems with...

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Issue-25-Improving-Neural-MT-with-Cross-Language-Model-Pretraining

Author: Dr. Rohit Gupta, Sr. Machine Translation Scientist @ Iconic

One of the reasons for the success of Neural MT, and deep learning techniques in general, is the more effective and efficient utilization of large amounts of training data without too much overhead in terms of the time it takes to infer, and the size of the resulting models. This also opens the door to...

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TAUS is hosting their 14th Machine Translation User Group on March 12th, from 4 - 5 pm CET. Iconic is pleased to announce that CEO, Dr. John Tinsley, will be speaking on "Solving multilingual content challenges for global Enterprises with bespoke Neural MT solutions." The TAUS Machine Translation User Group was initiated to encourage the sharing of knowledge and data, with the aim to ease the...

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  Date: 4 April 2019 Location: London Title: NUIX Insider Conference 2019 Iconic will be attending the NUIX Insider Conference  which takes place on April 4th in The County Hall, Westminster, London. The Nuix Insider Conference is a tailored event for Nuix users and e-discovery professionals, to show what's new with the software and to explore ways in which the software can help to solve complex data...

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Relativity Fest , London

  Date: 21 May 2019 Location: London Title: Relativity Fest London Iconic Translation Machines is proud to once again be a sponsor of 'Relativity Fest London', which takes place Tuesday, 21st May. This event is one of the largest e-discovery events in Europe, with more than 500 attendees expected. The location this year, ETC. Venues 133 Houndsditch, London, is near Liverpool Street and Bank stations. The...

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  Date: 7 March 2019 Location: Amsterdam Title: Women in Localization The ‘Women in Localization’, Netherlands Chapter, is hosting an event on March 7th in Amsterdam, entitled: ‘Machine Translation demystified’. Iconic’s Global Head of Enterprise Sales, Diane O’Reilly, will participate as an expert panelist and she will be joined by fellow experts from Booking.com and Infor. Diane recently spoke at the Irish chapter of ‘Women in Localization’...

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TAUS Global Summit 2019

  Date: 6 March 2019 Location: Amsterdam Title: TAUS Global Content Summit The TAUS Global Content Summit takes place in Amsterdam on the 6th of March at De Hollandsche Manege. Iconic is delighted to announce that CEO, Dr. John Tinsley, will be participating on the MT Experts Panel. The panel, moderated by Jaap van der Meer of TAUS, and which also includes Chris Wendt of Microsoft,...

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Issue-24-Exploring-language-models-for-Neural-MT

Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic

Monolingual language models were a critical part of Phrase-based Statistical Machine Translation systems. They are also used in unsupervised Neural MT systems (unsupervised means that no parallel data is available to supervise training, in other words only monolingual data is used). However, they are not used in standard supervised Neural MT engines and training language...

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Issue-23-Unbiased-Neural-MT

Author: Raj Patel, Machine Translation Scientist @ Iconic

A recent topic of conversation and interest in the area of Neural MT - and Artificial Intelligence in general - is gender bias. Neural models are trained using large text corpora which inherently contain social biases and stereotypes, and as a consequence, translation models inherit these biases. In this article, we’ll try to understand how gender...

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