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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 Iryna Modlinska When expanding into new markets, brands that introduce centralized control over multilingual content grow with greater consistency and confidence. This article...
There’s no better organization to guide women — and the industry — toward a brighter future than Women in Localization. The leading community and...
Recognizing the humanitarian disaster and tremendous need for funds, the benefit Artists for Ukraine music festival launches this coming weekend to feature Ukrainian and...
