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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.
A bug in Instagram’s auto-translate feature is highlighting the problem of bias in multilingual language models (MLMs) and the need for more transparency from...
Most people understand the value of a foreign exchange student program. But what if the concept of an exchange program wasn’t the exclusive domain...
Join us as we unravel the journey of chatbots from mere automated helpers to Digital Assistants, shaping the future of work. Discover how advancements...
