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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.
By Jace Norton The author discusses the role of AI in Indigenous language access, arguing that AI has little practical value for Indigenous language...
Explore the importance of multilingualism and cultural diversity in businesses and society in this episode. We discuss their benefits for corporate culture, innovation, and...
Laszlo Varga discusses trends in language technology, including the shift from Nimdzi's Language Technology Atlas to the more dynamic Language Technology Radar and its...
