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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.
Ryanair, Europe’s largest airline by number of passengers, has come under a wave of criticism after forcing UK-bound travelers flying with a South African...
For the second time this month the international press is having fun trying to get a translation in the world of politics right, or,...
Ian Evans of XTM International discusses the evolving landscape of the localization industry. With just under a year in the sector, Ian shares his...
