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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.
The language industry is built around communication, culture, and human connection. Yet many of the conversations shaping the industry today focus on technology, automation,...
In this captivating interview from LocWorld, join Spence Green, the founder of Lilt, as he delves into the company’s trailblazing journey in the world...
In this episode, we navigate through an enriching two-day conference that assembled remote work champions, seasoned professionals, and industry pioneers from across the world....
