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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...
We talk about his career path and RWS linguistic AI solution Evolve, which recently won the Machine Translation Innovation Award at the 2024 AI...
Straker Translations reported on Friday that it has earned $33 million NZD (19.37 million USD) in revenue during the first half of Fiscal Year...
