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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.
Of all the problems facing the world, there are few more pressing than climate change. Fortunately, language-industry companies are stepping up to make a...
Earlier this week, the United Kingdom-based company Adaptive Globalization announced the winners of the 2022 Best Employers in Localization Awards (BELA), which award language...
Amazon, Google, Meta, Microsoft, and Apple may have competing interests, but they’ve recently found one thing to work together on: All five of these...
