Hosted By
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 episode, Anne Marie Coliander, co-founder and conference organizer of the Nordic Translation and Interpretation Forum (NTIF). Since 2011, NTIF has provided a...
By Jourik Ciesielski Prior to the introduction of LLMs, NMT defined the computer-assisted translator’s toolset. And to some degree, it still does. But many...
By Ewandro Magalhães “Influence” is broader than metrics, encompassing natural forces, intellectual authority, and procedural changes. The author traces the word’s meaning from its...
