Evidence map›Paper›PMID 42751258›Full record

ArticleLanguage and cognition2020

A data-driven approach to the semantics of iconicity in American Sign Language and English.

Bill Thompson, Marcus Perlman, Gary Lupyan, Zed Sevcikova Sehyr, Karen Emmorey

Abstract read
In one paragraph

Article in Language and cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

6 citing papers in PubMed.

  1. Article
  2. Iconicity as an organizing principle of the lexicon.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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.

Bill ThompsonUniversity of California, Berkeley.ORCID 0000-0001-7348-3531
Marcus PerlmanUniversity of Birmingham.
Gary LupyanUniversity of Wisconsin-Madison.
Zed Sevcikova SehyrSan Diego State University.ORCID 0000-0001-7912-5428
Karen EmmoreySan Diego State University.

Funding

Language, Modality and the BrainR01DC010997 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI KAREN EMMOREY · 2010 to 2026
$8.6M
PSYCHOLINGUISTICS OF AMERICAN SIGN LANGUAGE MORPHOLOGYR01HD013249 · NICHD · SAN DIEGO STATE UNIVERSITY · PI EMMOREY, KAREN · 1985 to 2009
$3.6M
NICHD NIH HHS R01 HD013249NIDCD NIH HHS R01 DC010997
6 · The paper itself

Abstract

A growing body of research shows that both signed and spoken languages display regular patterns of iconicity in their vocabularies. We compared iconicity in the lexicons of American Sign Language (ASL) and English by combining previously collected ratings of ASL signs (Caselli, Sevcikova Sehyr, Cohen-Goldberg, & Emmorey, 2017) and English words (Winter, Perlman, Perry, & Lupyan, 2017) with the use of data-driven semantic vectors derived from English. Our analyses show that models of spoken language lexical semantics drawn from large text corpora can be useful for predicting the iconicity of signs as well as words. Compared to English, ASL has a greater number of regions of semantic space with concentrations of highly iconic vocabulary. There was an overall negative relationship between semantic density and the iconicity of both English words and ASL signs. This negative relationship disappeared for highly iconic signs, suggesting that iconic forms may be more easily discriminable in ASL than in English. Our findings contribute to an increasingly detailed picture of how iconicity is distributed across different languages.

Indexed as

American Sign Languagecomputational semanticsiconicitylanguage modalitylexicon

Identifiers

PMID42751258
PMCPMC13580375

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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.