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Machines that learn language more like kids do


October 31, 2018

In a paper being presented at this week's Empirical Methods in Natural Language Processing conference, the Massachusetts Institute of Technology researchers describe a parser that learns through observation to more closely mimic a child's language-acquisition process, which could greatly extend the parser's capabilities. Credit: Tarik Tosun, Cornell University Full Story

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Massachusetts Institute of Technology

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