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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.
By Jace Norton The author discusses the role of AI in Indigenous language access, arguing that AI has little practical value for Indigenous language...
Google’s AI research lab, DeepMind, introduced a new group of models called Gemini that outperforms the best OpenAI models when evaluated on standard benchmark...
In this episode, we explore the history and legacy of the European Language Industry Association (ELIA). Co-founder Roberto Ganzerli, former President Françoise Bajon, and...
