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With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.
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...
How can a single translation company impact an entire community? In this episode, Marleen Julien Souverain, CEO of Creole Solutions, shares the inspiring journey...
Meet last year’s awardees, including STAR Award winner Nadja Ruhl By Uma Kulkarni Women in Localization (WL)’s 2025 Kudos and STAR Award winners are...
