Does Google’s BERT Matter in Machine Translation?
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in...
#statistical machine translation
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Researchers Run User Study on MT Post-Editing’s Most Promising Alternative
Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to...
36 Million Words: Why Autodesk’s Localization Team ‘Fully’ Outsources Production
Autodesk’s Director of Localization Solutions Jennifer Johnson talks about why she outsources production entirely to...
3 Reasons Why Neural Machine Translation is a Breakthrough
PhD Candidate and TextShuttle CTO Samuel Läubli presented a compelling case for neural machine translation...
How SDL’s Secure Neural Machine Translation Helps Enterprises Reduce Risk
In the global enterprise, content submitted for machine translation is often highly sensitive. SDL's engineers...
Booking.com Builds on Harvard Framework to Run Neural MT at Scale
Engineers at Booking.com built a production-level neural machine translation system based on Harvard’s OpenNMT framework...
Here Is Europe’s State of the Art in Machine Translation Research
Europe continues to ramp up research in language technology. The number of papers published on...
Facebook Engineer on Why Translation Is Still Hard
Facebook Engineering Manager Necip Fazil Ayan discusses the social network’s key challenges with machine translating...
In Research, Neural Steamrolls Statistical Machine Translation
Research into statistical machine translation is fast falling out of favor among the research community...
Neural Conquers Patent Translation in Major WIPO Roll-out
One by one, major providers and users of machine translation are switching their technology-powered engine...
How BLEU Measures Translation and Why It Matters
When Google’s CEO goes on stage and measures translation accuracy to the third decimal place,...