Iconic’s consortium awarded funding by the European Commission under CEF program. Award was the largest amount provided under INEA in this call (€1,138,781). Project entitled PRINCIPLE: Providing Resources in Irish, Norwegian, Croatian and Icelandic for the Purposes of Language Engineering. Dublin – March 20, 2019– Iconic Translation Machines (Iconic), a leading Machine Translation (MT) software […]
Author: Dr. Rohit Gupta, Sr. Machine Translation Scientist @ Iconic Despite the high level of performance in current Neural MT engines, there remains a significant issue with robustness when it comes to unexpected, noisy input. When the input is not clean, the quality of the output drops drastically. In this issue, we will take a […]
Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic In Issue #11 of this series, we first looked directly at the topic of unsupervised machine translation – training an engine without any parallel data. Since then, it has gone from a promising concept, to one that can produce effective systems that perform close to […]
Author: Dr. John Tinsley, CEO @ Iconic Neural MT has had quite a significant impact on how global enterprises are looking at translation automation to improve existing workflows. Above and beyond that, however, organisations are considering how machine translation can transform key areas of their business. The reasons for this are clear – when […]
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 […]
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 […]
