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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.
Did you know that the amount of content produced by humanity each day is estimated to be 2.5 quintillion bytes? That's more bytes of...
As the Nimdzi 100 approaches its next release, Marjolein Groot-Nibbelink, the former CEO of Multilingual Media, shares her new role leading the project. Marjolein...
By Chandan Kumar In a multilingual nation like India, language can function as both a celebratory performance of identity and a mechanism for exclusion....
