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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.
Two years ago, the Trump administration stripped the Affordable Care Act (ACA) of numerous language access provisions, citing their cost as a burden on...
By Hani Alotaibi In Saudi Arabia, translation and interpreting education is being reshaped by workforce policy, with curriculum reform and graduate employability increasingly treated...
For the second time this month the international press is having fun trying to get a translation in the world of politics right, or,...
