Theories on the evolution of language highlight iconicity as one of the unique features of human language. One important manifestation of iconicity is sound symbolism, the intrinsic relationship between meaningless speech sounds and visual shapes, as exemplified by the famous correspondences between the pseudowords 'maluma' vs. 'takete' and abstract curved and angular shapes. Although sound symbolism has been studied extensively in humans including young children and infants, it has never been investigated in non-human primates lacking language. In the present study, we administered the classic "takete-maluma" paradigm in both humans (N = 24 and N = 31) and great apes (N = 8). In a forced choice matching task, humans but not great apes, showed crossmodal sound symbolic congruency effects, whereby effects were more pronounced for shape selections following round-sounding primes than following edgy-sounding primes. These results suggest that the ability to detect sound symbolic correspondences is the outcome of a phylogenetic process, whose underlying emerging mechanism may be relevant to symbolic ability more generally.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722092 | PMC |
http://dx.doi.org/10.1038/s41598-019-49101-4 | DOI Listing |
J Acoust Soc Am
January 2025
Department of Apparel and Space Design, Kyoto Women's University, Kyoto, Kyoto 605-8501, Japan.
Ever since de Saussure [Course in General Lingustics (Columbia University Press, 1916)], theorists of language have assumed that the relation between form and meaning of words is arbitrary. However, recently, a body of empirical research has established that language is embodied and contains iconicity. Sound symbolism, an intrinsic link language users perceive between word sound and properties of referents, is a representative example of iconicity in language and has offered profound insights into theories of language pertaining to language processing, language acquisition, and evolution.
View Article and Find Full Text PDFJ Exp Child Psychol
January 2025
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, 80336 München, Germany.
Early spelling depends on the ability to understand the alphabetic principle and to translate speech sounds into visual symbols (letters). Thus, the ability to associate sound-symbol pairs might be an important predictor of spelling development. Here, we examined the relation between sound-symbol learning (SSL) and early spelling skills.
View Article and Find Full Text PDFNoise Health
January 2025
Department of Neurology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.
Background: Patients with multiple sclerosis (MS) experience difficulties in understanding speech in noise despite having normal hearing.
Aim: This study aimed to determine the relationship between speech discrimination in noise (SDN) and medial olivocochlear reflex levels and to compare MS patients with a control group.
Material And Methods: Sixty participants with normal hearing, comprising 30 MS patients and 30 healthy controls, were included.
Entropy (Basel)
December 2024
Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Can we turn AI black boxes into code? Although this mission sounds extremely challenging, we show that it is not entirely impossible by presenting a proof-of-concept method, MIPS, that can synthesize programs based on the automated mechanistic interpretability of neural networks trained to perform the desired task, auto-distilling the learned algorithm into Python code. We test MIPS on a benchmark of 62 algorithmic tasks that can be learned by an RNN and find it highly complementary to GPT-4: MIPS solves 32 of them, including 13 that are not solved by GPT-4 (which also solves 30). MIPS uses an integer autoencoder to convert the RNN into a finite state machine, then applies Boolean or integer symbolic regression to capture the learned algorithm.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Mathematics and Statistics, College of Science, Taif University, 11099, 21944, Taif, Saudi Arabia.
In this work, we use the ansatz transformation functions to investigate different analytical rational solutions by symbolic computation. For the (2+1)-dimensional Calogero-Bogoyavlenskii Schiff (CBS) model, we derive a variety of rational solutions, such as homoclinic breather solutions (HBs), M-shaped rational solutions (MSRs), periodic cross-rationals (PCRs), multi-wave solutions (MWs), and kink cross-rational solutions (KCRs). Their dynamic is shown in figures by selecting appropriate values for the pertinent parameters.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!