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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.
A team of researchers at the University of Toronto has introduced a new framework for interpreting slang in natural language processing (NLP).
When a group of Advanced Placement (AP) Spanish students in Martha’s Vineyard stepped in to act as impromptu interpreters for non-English-speaking migrants last week,...
Languages are powerful weapons which are used as a mode of communication to express our thoughts. It is a way by which humans communicate...
