Evolutionary forces in language change
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Abstract (arXiv)
Languages and genes are both transmitted from generation to generation, with opportunity for differential reproduction and survivorship of forms. Here we apply a rigorous inference framework, drawn from population genetics, to distinguish between two broad mechanisms of language change: drift and selection. Drift is change that results from stochasticity in transmission and it may occur in the absence of any intrinsic difference between linguistic forms; whereas selection is truly an evolutionary force arising from intrinsic differences -- for example, when one form is preferred by members of the population. Using large corpora of parsed texts spanning the 12th century to the 21st century, we analyze three examples of grammatical changes in English: the regularization of past-tense verbs, the rise of the periphrastic `do', and syntactic variation in verbal negation. We show that we can reject stochastic drift in favor of a selective force driving some of these language changes, but not others. The strength of drift depends on a word's frequency, and so drift provides an alternative explanation for why some words are more prone to change than others. Our results suggest an important role for stochasticity in language change, and they provide a null model against which selective theories of language evolution must be compared.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Aug 2016.
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Citing papers per year: 2021: 4; 2022: 1; 2023: 3; 2024: 1; 2025: 1.
10 papers.
- 2021Conceptual similarity and communicative need shape colexification: an experimental studycited by 14
- 2021The structure of online social networks modulates the rate of lexical changecited by 8
- 2024Statistical Uncertainty in Word Embeddings: GloVe-Vcited by 4
- 2021How individuals change languagecited by 2
- 2023Self-contained Beta-with-Spikes Approximation for Inference Under a Wright-Fisher Modelcited by 1
- 2023Multiple evolutionary pressures shape identical consonant avoidance in the world's languagescited by 1
- 2021A Statistical Model of Word Rank Evolutioncited by 0
- 2022Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspectivecited by 0
- 2023Reliable Detection and Quantification of Selective Forces in Language Changecited by 0
- 2025Semantics drives analogical change in Germanic strong verb paradigms: a phylogenetic studycited by 0
- 2025Semantics drives analogical change in Germanic strong verb paradigms: a phylogenetic study24 Feb 2025
- 2024Statistical Uncertainty in Word Embeddings: GloVe-V18 Jun 2024
- 2023Multiple evolutionary pressures shape identical consonant avoidance in the world's languages25 Sep 2023
- 2023Reliable Detection and Quantification of Selective Forces in Language Change25 May 2023
- 2023Self-contained Beta-with-Spikes Approximation for Inference Under a Wright-Fisher Model8 Mar 2023
- 2022Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective5 Nov 2022
- 2021A Statistical Model of Word Rank Evolution21 Jul 2021
- 2021How individuals change language20 Apr 2021
- 2021The structure of online social networks modulates the rate of lexical change11 Apr 2021
- 2021Conceptual similarity and communicative need shape colexification: an experimental study19 Mar 2021