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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.
Recently, social media saw the birth of a whole new language coined Algospeak, employing code words and phrases to prevent posts from being removed,...
After attending GALA 2022 this past April, Riteba McCallum was inspired to conduct a survey to determine just how useful professional translators think machine...
The discussion on AI, NLP, and speech translation is happening now. Join Veronica Hylák, Claudio Fantinuoli, and Manuel Herranz as they share insights on...
