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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.
Join us in this exclusive segment from LocWorld50 as we engage with Dave Ruane, the force behind the Process Innovation Challenge. This in-depth interview...
A Canadian Federal Court has ordered two airports in Alberta and Newfoundland and Labrador to pay thousands in damages for official language rights violations,...
By Sophie Solomon Like mental health, pregnancy, and parental leave, menopause is a workplace issue that should be openly discussed to ensure that stigma...
