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. Continue reading
Facebook has been granted a patent for its machine translation quality evaluation system, which relies on user engagement data to decide which translation users prefer. Continue reading
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main end-buyer industries, competitive landscape, productivity tech, NMT and much more. Continue reading
Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to MT post-editing when powered by neural instead of statistical MT. Continue reading
Research into neural machine translation in 2018 is exploding, with April 2018 being the busiest month ever for NMT, as Big Tech companies from Google to Facebook to Amazon go full throttle on... Continue reading
In 2015, four leading European institutions and companies set out to solve machine translation’s four main problems: training, context, scalability, and data collection. After a brief scare when... Continue reading
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