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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.
Using three examples of poor translations that changed the course of history, Ewandro Magalhães illustrates the tough job of interpreters in the arena of...
By Agustín Da Fieno Delucchi, Alfredo de Almeida, and Jorge Russo dos Santos Traditional localization roles are morphing to meet the demands of an...
In this episode, Anne Marie Coliander, co-founder and conference organizer of the Nordic Translation and Interpretation Forum (NTIF). Since 2011, NTIF has provided a...
