At SlatorCon New York, Assistant Professor Kyunghyun Cho gave the audience a breakdown of the state-of-the-art in neural machine translation: how it developed, how it beat existing MT systems, and how it’s already mainstream and extremely fast-moving.
At SlatorCon New York, leading language industry leaders gathered to discuss what’s driving this fast-growing space. Participants were treated to insightful and authentic presentations by Lionbridge’s Rory Cowan, TransPerfect’s Phil Shawe, Qordoba’s May Habib, NYU’s Kyunghyun Cho, as well as D&B’s Kevin Giblin and Frontenac’s Ron Kuehl.
When Slator stopped by in New York in mid-October 2017, nearly 80 senior executives were treated to presentations by some of the biggest names in the language industry.
Joining a stacked speaker line-up and representing the buyer-side, Dun & Bradstreet’s Chief Global Procurement Officer, Kevin Giblin, will discuss what language service providers need to know about today’s increasingly sophisticated procurement landscape.
As interest in neural machine translation reaches new heights — with even Mark Zuckerberg posting about it on his personal Facebook page — academia continues to churn out NMT papers at a record clip; 2017 output already on par with whole of 2016.
The most-cited neural machine translation research papers show how NMT came to dominate the field — and how academia and industry’s interests have evolved.
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018.
Research into statistical machine translation is fast falling out of favor among the research community as the number of papers published on neural machine translation skyrockets in 2016.
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