Article published in:
Diachronica
Vol. 38:2 (2021) ► pp. 210–258

Phylogenetic signal in phonotactics

| The University of Queensland
| Yale University
| The University of Queensland | University of Surrey | Max Planck Institute for the Science of Human History
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 phylogenetic signal, quantifying the degree to which the data reflect phylogenetic history. We test three datasets: (1) binary variables recording the presence or absence of biphones (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.
Keywords: historical signal, phylogenetic comparative methods, historical linguistics, phonology, comparative linguistics, linguistic phylogenetics, Pama-Nyungan, Australian languages
Available under the Creative Commons Attribution (CC BY) 4.0 license.

For any use beyond this license, please contact the publisher at rights@benjamins.nl.

Published online: 02 February 2021
https://doi.org/10.1075/dia.20004.mac

Full-text

Phylogenetic signal in phonotactics
References

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