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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.
Several news outlets and deaf individuals commended Best New Artist winner Olivia Rodrigo for conducting interviews alongside an American Sign Language (ASL) interpreter —...
Though some might describe machine translation as magic, academic translator and entrepreneur Christopher Reid pushes back on this notion.
By Deema Jaradat Machine translation engines often struggle to produce accurate, consistent, and culturally sensitive output in Arabic. In this article, the author argues...
