Evidence map›Paper›PMID 42298047›Full record

ArticleNature human behaviour2026

The interaction of meaning similarity and confusability explains regularity in form-meaning mappings at and below the word level.

Thomas Brochhagen, Xixian Liao, Jamie D Wright, Carmen Saldana

Abstract read
In one paragraph

Article in Nature human behaviour, 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

4 authors.

Thomas BrochhagenDepartment of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain. thomas.brochhagen@upf.edu.ORCID http://orcid.org/0000-0002-0301-0541
Xixian LiaoBarcelona Supercomputing Center, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8214-3659
Jamie D WrightFaculty of Informatics, Université de Namur, Namur, Belgium.ORCID http://orcid.org/0009-0008-7170-1599
Carmen SaldanaDepartment of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-2518-2176

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 801370Generalitat de Catalunya (Government of Catalonia) 2022 BP 00101Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2024-162668NA-I00 MICIU/AEI/10.13039/501100011033Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) RYC2023-045215-I MCIU/AEI/10.13039/501100011033
6 · The paper itself

Abstract

Languages exhibit striking regularities in how meanings are mapped to word forms, yet analogous patterns at the subword level remain under-explored. This study presents a large-scale cross-linguistic analysis of regularity at and below the word level, drawing on data from over 1,900 languages. Here we find that while the co-expression of meanings at both levels is highly systematic, the meanings recurrently involved in the two levels differ. Nevertheless, regularity at and below the word level is explained by the same underlying principle: a tension between pressure for lexical compression and lexical differentiation. The former favours reusing forms for similar meanings to ease learning and processing. The latter favours the use of distinct forms to prevent ambiguity. These findings offer a unified account of lexical organization across the world's languages, with subword-level form reuse emerging as a principled compromise when full word-level reuse risks miscommunication.

Indexed as

LanguageLinguisticsSemanticsVocabularyHumans

Identifiers

PMID42298047
PMCPMC13485676

What OpenQuestion holds

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Read underepoch 390

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.