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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 a statement to MultiLingual, Iris Permuy, president of ATRAE, elaborated on the open letter, which claimed that subtitlers and audiovisual translators face low...
By Carol Velandia Executive Order 14224, signed in March 2025, declared English as the official language of United States federal agencies. The author calls...
In this interview with John Yunker, the author of the Web Globalization Report Card, we go into the discussions about the evolving landscape of...
