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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 Sophie Solomon Like mental health, pregnancy, and parental leave, menopause is a workplace issue that should be openly discussed to ensure that stigma...
While brushing up on some Arabic vocabulary, one user pointed out that Google Translate's entry for the Arabic word meaning "plan" was accompanied by...
Knowing when to make a change in strategy is possible only when clients or prospects trust their provider enough to give honest feedback. And...
