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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.
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...
A recent study published by the Washington, D.C.-based Urban Institute found that Asian Americans with limited English proficiency (LEP) face unique language barriers compared...
The localization supply chain is very crowded at the moment, and AI is constantly knocking at the door. We should not be scared, but...
