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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.
BigScience, an artificial intelligence (AI) research initiative, recently launched BLOOM, an open-source large language model (LLM) that aims to make such technology more accessible.
Just how much scientific research is being obscured due to language barriers?
A second Ukrainian interpreter, this time translating Ukrainian President Volodymyr Zelensky’s European Parliament address into English, went viral on social media today after the...
