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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.
In this fascinating article, we delve into the recent archaeological find in Córdoba, Spain where a Virgil poem is carved into an ancient amphora....
Researchers at the Massachusetts Institute of Technology (MIT), the University of California at San Diego (UCSD), and IBM have developed a machine learning model...
House Bill (HB) 60 would essentially allow fluent speakers of Native American languages the opportunity to receive a teacher’s salary without needing a teaching...
