Researchers from MIT and elsewhere developed a machine-learning model that can automatically learn the rules and patterns of human languages on its own, and also learn some inductive biases that are applicable across many languages. This work could pave the way for AI systems that could automatically learn a model from a collection of interrelated datasets.
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