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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.
A scathing critique of AI audiobook narration By Yasir Tehsin The author argues that AI voices, in no matter the language, are sorry substitutes...
It looks like the next group of professionals to hone their understanding of corpus linguistics could be lawyers.
Beyond mere compliance, accessibility for people with disabilities is a business opportunity By Bridget Hylak and Gosia Wheeler The authors argue that ensuring access...
