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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.
Leaders from across the gaming and localization industry come together to move beyond the debate over whether AI is simply “good” or “bad” for...
Illinois’s House Bill 5214 (HB 5214) — which expands access to interpreters in the state’s public schools — was approved earlier this month, going...
By Agustín Da Fieno Delucchi, Alfredo de Almeida, and Jorge Russo dos Santos Traditional localization roles are morphing to meet the demands of an...
