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Modeling Linguistic Complexity Could Help Computers Understand Conversations

Stanford University psychologists have developed a mathematical language model that computers could use to help machines better understand complex communication that humans take for granted. The model helps a computer understand inference, context, and social rules common in language and thus could help parse what a person means by inference rather than focusing on precise linguistic meaning. The researchers are already applying the model to study hyperbole and sarcasm. In addition to being useful in computational applications, they say, the model could help treat people with language disorders. They published their work in the journal Science. (PhysOrg)(Stanford University News Service)(Science)

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