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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.
By Mimi Moore and Carrie Fischer US college and university enrollments in courses for languages other than English fell 16.6% from 2016 to 2021....
By Carol Velandia Language access, which is a civil right, cannot be fully automated by AI, especially in high-stakes situations like legal or medical...
Eddie Arrieta sits down with Lucia Gutiérrez (a veteran localization project manager) and Gabriela Kouahla (bilingual translator and founder of Beyond Words) to unpack...
