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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.
At GlobalSaké’s Q3 Interactive Virtual Event this past September, innovative localization teams from companies like BLEND and Subway — yes, the sandwich company —...
Amy Grace O'Brien, Sr. Linguistic Quality Manager at Adobe, and Roberto Silva, Terminology Program Manager at Amazon Web Services talk about the crucial role...
Recorded live at the International Translation Forum in Riyadh, this episode brings together Eddie Arrieta and Odai Karzu—Head of Manga Creation at Manga Arabia—to...
