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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.
We speak with Karen Decker (Association of Language Companies) about the industry’s visibility gap, ALC’s advocacy work, and AI as a tool that still...
Lanfrica, an online catalog of African language resources specialized for linguists and natural language processing (NLP) specialists, has launched after months of development.
This December, one of the industry's most technical events returns. Konstantin Dranch, founder of CustomMT, gives us an inside look at the GenAI in...
