Evidence map›Paper›PMID 31598263›Full record

ArticleRoyal Society open science2019

On the physical origin of linguistic laws and lognormality in speech.

Iván G Torre, Bartolo Luque, Lucas Lacasa, Christopher T Kello, Antoni Hernández-Fernández

Abstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Does Zipf's law of abbreviation shape birdsong?PLoS computational biology · 2025
    Article
  4. Vocal efficiency in crows.Animal cognition · 2025
    Article
  5. Article
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  8. Article
  9. Article
  10. Spot the bot: the inverse problems of NLP.PeerJ. Computer science · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Linguistic laws in biology.Trends in ecology & evolution · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Iván G TorreDepartamento de Matemática Aplicada, ETSIAE, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros, 28040 Madrid, Spain.ORCID 0000-0003-2380-010X
Bartolo LuqueDepartamento de Matemática Aplicada, ETSIAE, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros, 28040 Madrid, Spain.ORCID 0000-0002-0396-4396
Lucas LacasaSchool of Mathematical Sciences, Queen Mary University of London, Mile End Road, E1 4NS London, UK.ORCID 0000-0003-3057-0357
Christopher T KelloCognitive and Information Sciences, University of California Merced, 5200 North Lake Road Merced, 95343 CA, USA.ORCID 0000-0003-1588-9474
Antoni Hernández-FernándezComplexity and Quantitative Linguistics Lab, Laboratory for Relational Algorithmics, Complexity and Learning (LARCA), Institut de Ciències de l'Educació; Universitat Politècnica de Catalunya, Barcelona, Spain.ORCID 0000-0002-9466-2704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical manifestations of linguistic units include sources of variability due to factors of speech production which are by definition excluded from counts of linguistic symbols. In this work, we examine whether linguistic laws hold with respect to the physical manifestations of linguistic units in spoken English. The data we analyse come from a phonetically transcribed database of acoustic recordings of spontaneous speech known as the Buckeye Speech corpus. First, we verify with unprecedented accuracy that acoustically transcribed durations of linguistic units at several scales comply with a lognormal distribution, and we quantitatively justify this 'lognormality law' using a stochastic generative model. Second, we explore the four classical linguistic laws (Zipf's Law, Herdan's Law, Brevity Law and Menzerath-Altmann's Law (MAL)) in oral communication, both in physical units and in symbolic units measured in the speech transcriptions, and find that the validity of these laws is typically stronger when using physical units than in their symbolic counterpart. Additional results include (i) coining a Herdan's Law in physical units, (ii) a precise mathematical formulation of Brevity Law, which we show to be connected to optimal compression principles in information theory and allows to formulate and validate yet another law which we call the size-rank law or (iii) a mathematical derivation of MAL which also highlights an additional regime where the law is inverted. Altogether, these results support the hypothesis that statistical laws in language have a physical origin.

Indexed as

Brevity LawBuckeye corpusHerdan’s Lawlognormal distributionMenzerath–Altmann LawZipf’s Law

Identifiers

PMID31598263
PMCPMC6731709

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.