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This same technology that enabled neural machine translation to improve machine translation is now finding its way into seemingly unrelated products (think ChatGPT or Dall·E). The translation “problem” has not been solved with the latest advancements in NMT, but there are lessons to be learned in other professions from how the professional translation community has been affected by and adapted to the widespread use of NMT both by translators and by end users.
Eddie Arrieta sits down with Craig Stewart, Director of AI Research at Phrase and one of the architects of the Comet machine-translation metric, to...
Language Services at the Olympics By Nathalie Greff-Santamaria Translation and interpreting are central to the Olympic and Paralympic Games to facilitate communication among athletes,...
Evans Chebet, a long-distance runner who hails from Kenya, received a lot of attention not just for his impressive finish time at the NYC...
