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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.
Advancements in communication technology are helping bring the world closer together without ever having to leave the house. Oddmund Braaten from Inerprefy analyses the...
Despite the prevalence of automatic speech recognition software, it’s obvious that these tools could use some improvement, especially when speaking with a non-standard accent...
Built on version 2 of SeamlessM4T, the new open-source models boast state-of-the-art speech recognition and translation capabilities in up to 100 languages. Read the...
