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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.
Translated, a Rome, Italy-based language service provider (LSP), announced May 19 that it has finalized plans to merge with the machine translation (MT) provider...
In this interview with John Yunker, the author of the Web Globalization Report Card, we go into the discussions about the evolving landscape of...
Boeing announced Thursday that it has formed a partnership with Tarjimly — an app that allows refugees to access free language services — to...
