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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 Nimdzi Language Technology Atlas 2022 comprehensively assesses the language-technology landscape, as it does every year. For most people in the industry, this Atlas...
This month in The Lab, Mark Shriner looks at trends in the delivery of interpretation services in healthcare. Specifically, drivers of the growth in...
Challenges and innovative approaches By Martina Russo The quickly evolving nature of action sports language poses unique challenges for translation professionals who must capture...
