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Information density as a predictor of communication dynamics
Gary Lupyan1, Pablo Contreras Kallens2, Rick Dale3
1Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Abstract:
In a recent paper, Aceves and Evans computed information and semantic density measures for hundreds of languages, and showed that these measures predict the pace and breadth of ideas in communication. Here, we summarize their key findings and situate them in a broader debate about the adaptive nature of language.
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