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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.
To promote language revitalization efforts among Native American communities and better understand the role children can play in such projects, the University of New...
The Nimdzi Language Technology Atlas 2022 comprehensively assesses the language-technology landscape, as it does every year. For most people in the industry, this Atlas...
In the latest installment of his column “The Red List,” Tim Brookes has a candid and fascinating conversation with Gerry Leonidas, a professor in...
