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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.
Two years ago, the Trump administration stripped the Affordable Care Act (ACA) of numerous language access provisions, citing their cost as a burden on...
By Bruno Lewin, Joe O’Brien, and John Wilcock Globalization experts from Microsoft share advice for effectively and ethically using generative artificial intelligence for translation...
Welcome to the heart of innovation at LocWorld's 50th event! In this special coverage, Multilingual Media brings you face-to-face with the thought leaders driving...
