The "Small World of Words" free association norms for Rioplatense Spanish

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The "Small World of Words" free association norms for Rioplatense Spanish

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

The "Small World of Words" free association norms for Rioplatense Spanish

Popis výsledku anglicky

"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."

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

"Behavior Research Methods"

ISSN

1554-351X

e-ISSN

—

Svazek periodika

13397 LNCS

Číslo periodika v rámci svazku

2023

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

968-985

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85149977058