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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.
The next evolution in global content creation By Jorge Russo dos Santos and Agustín Da Fieno Delucchi Unlike traditional localization, which adapts content from...
Marina Pantcheva of RWS and Belen Agulló García of Terra Localizations share their journeys from traditional translation and teaching to leading innovative AI initiatives...
Step into the world of 'Global Ambitions' as we chat with Stephanie Harris-Yee of Argos Multilingual about their latest outsert, 'Global Ambitions,' and how...
