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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.
The WBEC Metro NY awarded Eriksen Translations with the awards, honoring the LSP’s work to help city and state agencies in the New York...
Catalan has often been excluded from some social media platforms on the assumption that Catalan-speaking users would feel comfortable using the Spanish version. Recently,...
Arriving in America as a refugee with almost nothing to her name, Faiza Sultan quickly established herself as a hardworking and reliable linguist, which...
