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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.
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,...
By Ryan Foley Although AI can enhance language services in regulated industries such as healthcare, legal services, government, and education, human expertise remains essential...
While many business people might see a multilingual team as a challenge to overcome, Sophie Jackson thinks it’s the opposite — to her (and...
