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An exploration of Menzerath's law in wild mountain gorilla vocal sequences

Watson, Stuart K; Heesen, Raphaela; Hedwig, Daniela; Robbins, Martha M; Townsend, Simon W (2020). An exploration of Menzerath's law in wild mountain gorilla vocal sequences. Biology Letters, 16(10):20200380.

Abstract

Menzerath's law, traditionally framed as a negative relationship between the size of a structure and its constituent parts (e.g. sentences with more clauses have shorter clauses), is widespread across information-coding systems ranging from human language and the vocal and gestural sequences of primates and birds, to the building blocks of DNA, genes and proteins. Here, we analysed an extensive dataset of ‘close-call' sequences produced by wild mountain gorillas (Gorilla beringei beringei, no. individuals = 10, no. sequences = 2189) to determine whether, in accordance with Menzerath's law, a negative relationship existed between the number of vocal units in a sequence and the duration of its constituent units. We initially found positive evidence for this but, on closer inspection, the negative relationship was driven entirely by the difference between single- and multi-unit (two to six unit) sequences. Once single-unit sequences were excluded from the analysis, we identified a relationship in the opposite direction, with longer sequences generally composed of longer units. The close-call sequences of mountain gorillas therefore represent an intriguing example of a non-human vocal system that only partially conforms to the predictions of Menzerath's law.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Language Science
Special Collections > NCCR Evolving Language
Special Collections > Centers of Competence > Center for the Interdisciplinary Study of Language Evolution
Dewey Decimal Classification:490 Other languages
890 Other literatures
410 Linguistics
Scopus Subject Areas:Life Sciences > Agricultural and Biological Sciences (miscellaneous)
Life Sciences > General Agricultural and Biological Sciences
Language:English
Date:28 October 2020
Deposited On:26 Jan 2022 06:30
Last Modified:27 Aug 2024 01:36
Publisher:Royal Society Publishing
ISSN:1744-9561
OA Status:Hybrid
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1098/rsbl.2020.0380
PubMed ID:33050832
Project Information:
  • Funder: Swiss National Science Foundation
  • Grant ID: 51NF40_180888
  • Project Title: NCCR Evolving Language
  • Funder: Swiss National Science Foundation
  • Grant ID: PP00P3_163850
  • Project Title:
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