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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.
Is the promise of AI detectors a false one? We dive into a Stanford University study revealing surprising biases in generative AI detectors. Join...
The optimal process for translating and localizing mountains of copy has yet to be discovered. It’s a process of trial and error that Derick...
A February article in Business Insider Africa listed the 10 largest African economies to invest in as of 2022. Those economies come with their...
