Valence, Arousal and Concreteness Mediate Word Association

  1. Francisco Buades-Sitjar 1
  2. Clara Planchuelo 1
  3. Jon Andoni Duñabeitia 1
  1. 1 Universidad Nebrija
    info

    Universidad Nebrija

    Madrid, España

    ROR https://ror.org/03tzyrt94

Revue:
Psicothema

ISSN: 0214-9915 1886-144X

Année de publication: 2021

Volumen: 33

Número: 4

Pages: 602-609

Type: Article

DOI: 10.7334/PSICOTHEMA2020.484 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Psicothema

Objectifs de Développement Durable

Résumé

Antecedentes: dado el impacto de las propiedades léxicas como la valencia, la activación y la concreción en el procesamiento del lenguaje, se han diseñado métodos computacionales recientes para extrapolar estos valores de diferentes fuentes. Estos métodos son particularmente exitosos para extraer características léxicas de bases de asociación de palabras. En consecuencia, la valencia, la activación y la concreción parecen estar representadas en la asociación de palabras. Hipotetizamos que, de hecho, podrían ser mediadores críticos en el proceso. Método: para probar nuestra hipótesis, emparejamos la señal y sus asociados en tres bases de datos en tres idiomas diferentes con sus valores de valencia, activación y concreción. Realizamos análisis de regresión lineal para explorar si la puntuación de un asociado en cada dimensión podría predecirse mediante las puntuaciones de su palabra señal. Resultados: los análisis mostraron que la puntuación de las palabras señal en cada una de las tres dimensiones es un fuerte predictor de las puntuaciones de sus asociados en la misma dimensión. Además, las palabras que estaban más fuertemente asociadas tendían a tener puntuaciones más similares. Conclusiones: demostramos que en diferentes lenguas la asociación de palabras está mediada y puede predecirse por la concreción, la activación y la valencia

Information sur le financement

This study was partially supported by grants RED2018-102615-T and PGC2018-097145-BI00 from the Spanish Government, and H2019/HUM-5705 from the Comunidad de Madrid.

Financeurs

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