Combining data and mathematical models of language change

  • Authors:
  • Morgan Sonderegger;Partha Niyogi

  • Affiliations:
  • University of Chicago, Chicago, IL;University of Chicago, Chicago, IL

  • Venue:
  • ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
  • Year:
  • 2010

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Abstract

English noun/verb (N/V) pairs (contract, cement) have undergone complex patterns of change between 3 stress patterns for several centuries. We describe a longitudinal dataset of N/V pair pronunciations, leading to a set of properties to be accounted for by any computational model. We analyze the dynamics of 5 dynamical systems models of linguistic populations, each derived from a model of learning by individuals. We compare each model's dynamics to a set of properties observed in the N/V data, and reason about how assumptions about individual learning affect population-level dynamics.