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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.
The Nimdzi Language Technology Atlas 2022 comprehensively assesses the language-technology landscape, as it does every year. For most people in the industry, this Atlas...
A conversation with John Yunker, the co-founder of Byte Level Research, who has authored over 20 annual editions of the web Globalization Report Card....
Language access is a long-term investment that is more affordable and attainable than we might think. Deema Jaradat presents timely, cost-effective solutions for extending...
