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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.
If you’ve been trying to wrap your head around the concepts of blockchain, Web3.0, or the metaverse, look no further. Nimdzi’s Nadežda Jakubková has...
Language Services at the Olympics By Nathalie Greff-Santamaria Translation and interpreting are central to the Olympic and Paralympic Games to facilitate communication among athletes,...
In its most recent call for submissions (which opens Monday, Jan. 9), the ICML included a note in its “Ethics” section prohibiting the use...
