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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.
Vamos Juntos association is transforming the language services landscape in Latin America and the Caribbean. We are joined by Carol Velandia, Cristina Barbier, and...
By Mimi Moore This author discusses the challenges and complexities of managing change in regulated industries, particularly medical device manufacturing, highlighting the reasons for...
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...
