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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.
For the second time this month the international press is having fun trying to get a translation in the world of politics right, or,...
Join Andrew Rufener, MD of Intelium Consulting and CEO of Loquell, as we unpack the untapped potential of business intelligence within content operations. From...
Key principles, best practices, and real-world examples of how artificial intelligence and machine translation are being used to reduce costs and turn-around times, while...
