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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.
A conversation about innovation in the language industry and how specialized translators will play a pivotal role in the future of the industry.
The Association of Translation Companies (ATC) announced the winners of its annual Language Industry Awards on Thursday, celebrating high-achieving language service providers (LSPs) and...
By Sophie Solomon Like mental health, pregnancy, and parental leave, menopause is a workplace issue that should be openly discussed to ensure that stigma...
