Drift as a Driver of Language Change: An Artificial Language Experiment

Published on September 15, 2022

Imagine you’re on a road trip with a group of friends. As you drive along, you notice that certain landmarks or attractions that are more popular and well-known tend to stick around for longer periods of time. This phenomenon also applies to language! A recent experiment investigated how the frequency of words influences language change. Participants in the study were asked to learn a made-up language with two nouns and two plural markers. The nouns appeared at different frequencies and were subjected to various influences, including drift and selection. The results showed that the lower-frequency words underwent more regular changes over time, providing evidence that drift plays a significant role in driving language change. This finding adds to our understanding of how languages evolve and highlights the importance of factors like drift in shaping linguistic patterns.

Abstract
Over half a century ago, George Zipf observed that more frequent words tend to be older. Corpus studies since then have confirmed this pattern, with more frequent words being replaced and regularized less often than less frequent words. Two main hypotheses have been proposed to explain this: that frequent words change less because selection against innovation is stronger at higher frequencies, or that they change less because stochastic drift is stronger at lower frequencies. Here, we report the first experimental test of these hypotheses. Participants were tasked with learning a miniature language consisting of two nouns and two plural markers. Nouns occurred at different frequencies and were subjected to treatments that varied drift and selection. Using a model that accounts for participant heterogeneity, we measured the rate of noun regularization, the strength of selection, and the strength of drift in participant responses. Results suggest that drift alone is sufficient to generate the elevated rate of regularization we observed in low-frequency nouns, adding to a growing body of evidence that drift may be a major driver of language change.

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