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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 Dominique Bohbot Indigenous linguistic vitality is currently a large-scale undertaking in Canada. This article discusses the legal context, grammatical complexities, educational offerings, and...
OpenAI, the San Francisco-based artificial intelligence laboratory behind the large language model (LLM) GPT-3 and the image generator DALL-E, launched a new tool on...
Amazon’s Alexa AI team was recently ranked in first place on a shared task at the International Conference on Spoken Language Translation (IWSLT), which...
