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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.
Delve into the exciting transition of Sandberg Translation Partners to employee ownership. Uncover the potential benefits of employee ownership, from heightened innovation to increased...
All language uses symbols for representation and classification, just like names. But these symbols' meaning can rapidly evolve, and the Russian Z launched during...
Marina Pantcheva of RWS and Belen Agulló García of Terra Localizations share their journeys from traditional translation and teaching to leading innovative AI initiatives...
