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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.
Translate beyond segments. In this episode, we dig into “segmentless localization” with Burroworks’ founder & CEO, exploring the Free Flow Editor’s context-rich approach to...
In this conversation, Will Rowlands-Rees, Chief AI Officer at Lionbridge, discusses the transformative impact of AI on the localization industry and the critical role...
Javier Díaz, Head of Community at Bureau Works, joins us at GALA 2025 in Montreal to reflect on ten years in the language industry—and...
