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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.
Live from the International Translation Forum in Riyadh, Eddie Arrieta sits down with Sarah Robertson, CEO of the UK’s Institute of Translation and Interpreting...
A recent South China Morning Post report suggests that Hong Kong’s legal system has not been adequately transparent about providing English-language judgments in recent...
By Jace Norton The author discusses the role of AI in Indigenous language access, arguing that AI has little practical value for Indigenous language...
