Evidence map›Paper›PMID 41848871›Full record

ArticleAnimal cognition2026

Zebra finches transform manipulated songs with shuffled syllables to exhibit linguistic laws.

Mason Youngblood

Abstract read
In one paragraph

Article in Animal cognition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Mason YoungbloodInstitute for Advanced Computational Science, Stony Brook University, Stony Brook, USA. masonyoungblood@gmail.com.ORCID http://orcid.org/0000-0003-2123-1716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linguistic laws are increasingly used as markers of efficiency in non-human communication, but it remains unclear how rapidly these patterns can emerge. In this re-analysis of experimental data from James and Sakata (Current Biology 27:3676–3682, 2017), I assessed whether zebra finches tutored with songs with shuffled syllables, where each syllable type is equally common and songs have equal length, transform them to exhibit three linguistic laws associated with efficiency in human language. Menzerath’s law and Zipf’s rank-frequency law are present in the learned songs to a similar extent as in human language, while there is only weak support for Zipf’s law of abbreviation. These results suggest that some measures of language-like efficiency can emerge extremely rapidly, while others may require iterated social learning.

Indexed as

FinchesVocalization, AnimalAnimalsLearningLinguisticsMaleBirdsongEfficiencyLinguistic lawsSocial learningVocal communication

Identifiers

PMID41848871
PMCPMC13013388

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.