Neural Machine Translation has recently received a lot of hype. There is no doubt it is an emerging technology with massive potential, but it is not yet a sweeping solution to all ills. Several factors prevent NMT from being commercially ready. Expectations, therefore, need to be managed. That is the goal of this talk.
The presenters describe a collaborative initiative—between Iconic, a commercial MT software provider, and ADAPT, a world-leading MT research group working on NMT—that looks at the pros and cons of respective MT approaches. The talk provides a qualitative comparison of translation output across different languages and projects. The findings indicate areas where NMT might have the most immediate impact for end-users.
John’s background is in Machine Translation, an area in which he received a PhD from Dublin City University. Since then, he has focused on consulting and development of MT technology that has real practical applications and provides true value to its users. The foundations of Iconic Translation Machines are built on methods that John pioneered over almost a decade of research. His ongoing development and innovation in this area ensures that Iconic Translation Machines will continue to deliver cutting-edge translation technology.