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Volume 38, Issue 2
  • ISSN 0176-4225
  • E-ISSN: 1569-9714
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Abstract

Abstract

Phylogenetic methods have broad potential in linguistics beyond tree inference. Here, we show how a phylogenetic approach opens the possibility of gaining historical insights from entirely new kinds of linguistic data – in this instance, statistical phonotactics. We extract phonotactic data from 112 Pama-Nyungan vocabularies and apply tests for quantifying the degree to which the data reflect phylogenetic history. We test three datasets: (1) binary variables recording the presence or absence of (two-segment sequences) in a lexicon (2) frequencies of transitions between segments, and (3) frequencies of transitions between natural sound classes. Australian languages have been characterized as having a high degree of phonotactic homogeneity. Nevertheless, we detect phylogenetic signal in all datasets. Phylogenetic signal is greater in finer-grained frequency data than in binary data, and greatest in natural-class-based data. These results demonstrate the viability of employing a new source of readily extractable data in historical and comparative linguistics.

© John Benjamins Publishing Company
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2021-02-02
2025-02-19

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Phylogenetic signal in phonotactics
Diachronica 38, 210 (2021); https://doi.org/10.1075/dia.20004.mac
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  • Article Type: Research Article
Keyword(s): Australian languages; comparative linguistics; historical linguistics; historical signal; linguistic phylogenetics; Pama-Nyungan; phonology; phylogenetic comparative methods

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