Hosted By
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.
Interview by Cameron Rasmusson Through her work advancing the Saudi translation and publishing industries, Dr. Hailah Alkhalaf aims to share the country’s diverse cultural...
When the Russian invasion of Ukraine began, Maria Malykhina and her colleagues at Technolex Translation Studio were determined to continue their work by all...
If you’re a marketer who is tasked with building international marketing programs in many languages and finding it difficult, you’re definitely not alone.
