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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 Hani Alotaibi In Saudi Arabia, translation and interpreting education is being reshaped by workforce policy, with curriculum reform and graduate employability increasingly treated...
By Deema Jaradat Deema Jaradat provides an overview of language access laws in the United States and argues that knowledge of these policies can...
Despite living in a hybrid events world in 2023, the lack of accessibility remains an overlooked issue. In this article, we explore the shortcomings...
