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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.
In our conversation with Mugais Jahangir. He's the Chief Revenue Officer at memoq. What was really interesting about this conversation is that we did...
House Bill 2359 (HB 2359) addresses a major loophole in the state’s Health Care Interpreter Program, which sets language access regulations for healthcare providers...
How about switching between scripts? Endangered Alphabets Project founder Tim Brookes examines a series of seemingly disparate structures — Stonehenge, the Congolese Mandombé script,...
