Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation
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.
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.
Researchers investigate the unexpected behavior of NMT and find surprising differences in the translations of extremely similar sentences.
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
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.
Systran's 2nd generation NMT engines allow users to access ‘real time’ features with the quality of NMT
KantanMT is pleased to announce that it has launched a major new release of its market leading KantanMT platform. This release follows an extensive study of Transformer Neural Networks (TNN); research that clearly demonstrated TNNs produce a notably higher translation quality output than Recurrent Neural Networks (RNN)
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 multiple areas of research.
Europe continues to ramp up research in language technology. The number of papers published on machine translation in an academic journal has reached the highest number in more than a decade.
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