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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.
Indian cinema is taking the world by storm this year with the success of RRR, a big-budget Tollywood action epic set in the Britain-controlled...
2025 was the year the industry realized the potential of "Agentic AI." In this episode, Lorcan Malone, CEO of XTM International, joins us to...
What happens to the language industry’s talent pipeline if MIIS’s Translation & Localization Management program shuts down? In this episode of Localization Today, we...
