Why does symbolic communication in humans develop primarily in an oral medium, and how do theories of language origin explain this? Non-human primates, despite their ability to learn and use symbolic signs, do not develop symbols as in oral language. This partly owes to the lack of a direct cortico-motoneuron control of vocalizations in these species compared to humans. Yet such modality-related factors that can impinge on the rise of symbolic language are interpreted differently in two types of evolutionary storylines. (1) Some theories posit that symbolic language originated in a gestural modality, as in "sign languages." However, this overlooks work on emerging sign and spoken languages showing that gestures and speech shape signs differently. (2) In modality-dependent theories, some emphasize the role of iconic sounds, though these lack the efficiency of arbitrary symbols. Other theorists suggest that ontogenesis serves to identify human-specific mechanisms underlying an evolutionary shift from pitch varying to orally modulated vocalizations (babble). This shift creates numerous oral features that can support efficient symbolic associations. We illustrate this principle using a sound-picture association task with 40 learners who hear words in an unfamiliar language (Mandarin) with and without a filtering of oral features. Symbolic associations arise more rapidly and accurately for sounds containing oral features compared to sounds bearing only pitch features, an effect also reported in experiments with infants. The results imply that, beyond a competence to learn and use symbols, the rise of symbolic language rests on the types of signs that a modality of expression affords.
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http://dx.doi.org/10.3389/fpsyg.2018.02300 | DOI Listing |
Am J Speech Lang Pathol
January 2025
Department of Speech and Hearing Science, The Ohio State University, Columbus.
Purpose: Vocabulary access is important for individuals who use augmentative and alternative communication (AAC), especially for children in the early stages of language learning. This study sought to understand how accurate speech-language pathologists (SLPs), teachers, and parents are in predicting the vocabulary needed by early symbolic communicators who use AAC in three contexts.
Method: Ten groups, each with a child who used AAC as their primary mode of communication and who was classified as an early symbolic communicator and their parent, teacher, and SLP, participated.
Augment Altern Commun
January 2025
Rightpath Research & Innovation Center, University of South Florida, Tampa, FL, USA.
In research, augmentative and alternative communication (AAC) interventions have primarily focused on teaching children to make requests; however, AAC intervention should not stop there. There is a dearth of AAC intervention research targeting other communicative functions, despite there being a significant need to enhance children's communication competence in a variety of social and educational contexts. The purpose of this study was to examine the initial efficacy and feasibility of an AAC narrative intervention on the picture-supported retelling skills of three children with autism, aged 6-9 years old.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig 23119, Turkey.
Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature engineering (XFE) model using an EEG psychotic criminal dataset. In this study, a new EEG psychotic criminal dataset was curated, containing EEG signals from psychotic criminal and control groups.
View Article and Find Full Text PDFArch Public Health
January 2025
School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, 226001, China.
Background: Chinese cancer survivors are not doing well in returning to work. Peer support, as an external coping resource to help cancer survivors return to work, brings together members of the lay community with similar stressors or problems for mutual support. Peer volunteers have not received systematic training, so inappropriate language in the support process can often cause secondary damage to both the peer and the cancer survivor.
View Article and Find Full Text PDFData Brief
February 2025
Department of Electrical, Electronic and Communication Engineering, Military Institute of Science and Technology (MIST), Dhaka 1216, Bangladesh.
The dataset represents a significant advancement in Bengali lip-reading and visual speech recognition research, poised to drive future applications and technological progress. Despite Bengali's global status as the seventh most spoken language with approximately 265 million speakers, linguistically rich and widely spoken languages like Bengali have been largely overlooked by the research community. fills this gap by offering a pioneering dataset tailored for Bengali lip-reading, comprising visual data from 150 speakers across 54 classes, encompassing Bengali phonemes, alphabets, and symbols.
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