The "Small World of Words" free association norms for Rioplatense Spanish
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AHZLTW6VZ" target="_blank" >RIV/00216208:11320/23:HZLTW6VZ - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149977058&doi=10.3758%2fs13428-023-02070-z&partnerID=40&md5=ae5371f561a94846c6ce3e4cf62ef643" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149977058&doi=10.3758%2fs13428-023-02070-z&partnerID=40&md5=ae5371f561a94846c6ce3e4cf62ef643</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3758/s13428-023-02070-z" target="_blank" >10.3758/s13428-023-02070-z</a>
Alternative languages
Result language
angličtina
Original language name
The "Small World of Words" free association norms for Rioplatense Spanish
Original language description
"Large-scale word association datasets are both important tools used in psycholinguistics and used as models that capture meaning when considered as semantic networks. Here, we present word association norms for Rioplatense Spanish, a variant spoken in Argentina and Uruguay. The norms were derived through a large-scale crowd-sourced continued word association task in which participants give three associations to a list of cue words. Covering over 13,000 words and +3.6 M responses, it is currently the most extensive dataset available for Spanish. We compare the obtained dataset with previous studies in Dutch and English to investigate the role of grammatical gender and studies that used Iberian Spanish to test generalizability to other Spanish variants. Finally, we evaluated the validity of our data in word processing (lexical decision reaction times) and semantic (similarity judgment) tasks. Our results demonstrate that network measures such as in-degree provide a good prediction of lexical decision response times. Analyzing semantic similarity judgments showed that results replicate and extend previous findings demonstrating that semantic similarity derived using spreading activation or spectral methods outperform word embeddings trained on text corpora. © 2023, The Psychonomic Society, Inc."
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"Behavior Research Methods"
ISSN
1554-351X
e-ISSN
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Volume of the periodical
13397 LNCS
Issue of the periodical within the volume
2023
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
968-985
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85149977058