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Building social cognitive models of language change

Abstract
sparkles

AI

This paper discusses recent advances in the study of language change, presenting a probabilistic, data-driven framework that models language evolution as a social and cognitive process influenced by competing linguistic variants. It highlights the contributions of various linguistic subfields to a unified understanding of language change mechanisms and emphasizes the importance of such research in addressing broader questions related to cognitive sciences and cultural dynamics.