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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 Deema Jaradat Deema Jaradat provides an overview of language access laws in the United States and argues that knowledge of these policies can...
Customer experience has long been touted as the ultimate barometer for the health of companies, but isn’t the employee experience just as foundational to...
Scholastic and SoapBox Labs have recently come together to make speech recognition technology accessible to elementary schools across America.
