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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 Ryan Foley Although AI can enhance language services in regulated industries such as healthcare, legal services, government, and education, human expertise remains essential...
By Adriel Maroni How can language professionals help improve healthcare for LGBTQ+ individuals? Adriel Maroni argues that using gender-neutral terminology, allowing for self-identification, and...
A conversation about innovation in the language industry and how specialized translators will play a pivotal role in the future of the industry.
