News & Resources


The Neural MT Weekly Blog series

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 […]


NUIX Insider Conference 2019 – London – April 4

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 […]

Relativity Fest London - London - May 21

Relativity Fest London – London – May 21

Details to follow.  Stay tuned …

‘Women in Localization’ The Netherlands Chapter- Amsterdam – March 7

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 and Infor. Diane recently spoke at the Irish chapter of ‘Women in […]

TAUS Global Summit 2019

TAUS Global Content Summit – Amsterdam – March 6

  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, […]

The Neural MT Weekly Blog series

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 […]

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