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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.
In this conversation with the Co-CEO of memoQ we go into the experience and learnings that took him to be in the frontline of...
Key principles, best practices, and real-world examples of how artificial intelligence and machine translation are being used to reduce costs and turn-around times, while...
If you’ve been watching the FIFA World Cup in Qatar, no doubt you can by now quote parts of the Frito Lays commercial featuring...
