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The Logical Problem of Language Change (1995) [18 citations — 0 self]

by Partha Niyogi ,  Robert C. Berwick
CBCL Paper 115, MIT AI Laboratory and Center for Biological and Computational Learning, Department of Brain and Cognitive Sciences
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Abstract:

This paper considers the problem of language change. Linguists must explain not only how languages are learned but also how and why they have evolved along certain trajectories and not others. While the language learning problem has focused on the behavior of individuals and how they acquire a particular grammar from a class of grammars G, here we consider a population of such learners and investigate the emergent, global population characteristics of linguistic communities over several generations. We argue that language change follows logically from specific assumptions about grammatical theories and learning paradigms. In particular, we are able to transform parameterized theories and memoryless acquisition algorithms into grammatical dynamical systems, whose evolution depicts a population's evolving linguistic composition. We investigate the linguistic and computational consequences of this model, showing that the formalization allows one to ask questions about diachronic that one ...

Citations

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