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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.
A recent survey from CNN showed that 90% of adults in the United States believe the country is in the middle of a mental...
By Sasha Fedorova, Florian Jaton, and Dmitrii Shevchuk AI is hyped as a force that will revolutionize the future. But the future isn’t here...
We speak with Helena Batt (TED Conferences) and Guy Piecarz (Panjaya) about TED’s move from subtitles to AI-assisted, human-reviewed dubbing across 115 languages. They...
