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The optimal process for translating and localizing mountains of copy has yet to be discovered. It’s a process of trial and error that Derick Fajardo, head of machine translation at Harvard Business Publishing knows all too well. In this episode, he shares his experience and insights in an interview hosted by MultiLingual's Editor-in-Chief, Cameron Rasmusson.
A trend has emerged where executives contemplate bypassing traditional translation processes and cutting budgets, swayed by the potential of Generative AI (GenAI). Read the...
Interview by Deema Jaradat In this interview, Michael Mulé of the U.S. Department of Justice discusses the historical framework of language access in the...
With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and...
