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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.
In our conversation with Mugais Jahangir. He's the Chief Revenue Officer at memoq. What was really interesting about this conversation is that we did...
Michelle Rabie considers the concept of “African time” and delves into the real reasons behind missed deadlines — from the challenges of working with...
A team of researchers at the University of Toronto has introduced a new framework for interpreting slang in natural language processing (NLP).
