Sentence repetition as a function of episodic buffer: a pilot study in Croatian
DOI:
https://doi.org/10.36505/ExLing-2022/13/0018/000560Keywords:
Sentence repetition, Long-term linguistic knowledge, Episodic buffer, Working memoryAbstract
In sentence repetition tasks, the function of the episodic buffer of working memory is to adjust semantic and syntactic information stored in long-term memory. To explain how working memory uses linguistic knowledge about words and constraints on their order in sentences, the constrained sentence span task was adapted and developed. The aim of the study was to determine how many words in sentences children could repeat under conditions both with and without articulatory suppression. Sixteen ten-year-old children participated in the study (M = 10;04). The results showed that success in repeating sentences under both conditions increased up to sentences containing six words. This experimental task accounts for the function of the episodic buffer when controlling various linguistic aspects.
References
Acheson, D. J., MacDonald, M. C. 2009. Verbal working memory and language production: Common approaches to the serial ordering of verbal information. Psychological Bulletin, 135, 50-68.
Baddeley, A. D. 2000. The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4, 417-423.
Baddeley, A. D., Hitch, G. J., Allen, R. J. 2009. Working memory and binding in sentence recall. Journal of Memory and Language, 61(3), 438-456.
Kuvač Kraljević, J., Olujić, M. 2018. Imageability and subjective frequency of the 500 rated nouns in the Croatian Lexical Database. Suvremena Lingvistika, 44(85), 73-90.
Kuvač Kraljević, J., Hržica, G., Štefanec, V. 2021. Čestotni rječnik hrvatskoga dječjeg jezika – natuknice. Zagreb: Naklada Slap.
Raven's Progressive Matrices and Vocabulary Scales 2000. Raven, J., Raven, J. C., Court, J. H. Manual for Raven's Progressive Matrices and Vocabulary Scales, Section 3: The Standard Progressive Matrices. Oxford, UK: Oxford.
Downloads
Published
Issue
Section
License
Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.