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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.
Discover the magic and mystery of language with Vijetha Djois in our latest episode, "On the Psychology of Languages." Explore how language is imprinted...
Delve into the challenges faced by Germany and its allies in training the Ukrainian military. With a significant shortage of qualified interpreters, the process...
While the need for professional interpreters in settings like courtrooms, healthcare institutions, and conferences has long been established, interpreters have been somewhat absent in...
