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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.
How is AI transforming the localization industry? Susan Morgan, VP of AI Sales at Lionbridge, gives an inside look into AI adoption at Lionbridge,...
A month after Disney+ launched in Turkey, local media reported that the company’s Turkish subtitle translators received an email with directions on certain content...
A conversation with Gabriel Karandyšovský about Argos Multilingual's most recent report, Global Ambitions 2024 "Windows into the Future," which explores potential industry trajectories with...
