In this study, we aim to disentangle pantomime from early signs in a newly-born sign language: Sao Tome and Principe Sign Language. Our results show that within 2 years of their first contact with one another, a community of 100 participants interacting everyday was able to build a shared language. The growth of linguistic systematicity, which included a decrease in use of pantomime, reduction of the amplitude of signs and an increase in articulation economy, showcases a learning, and social interaction process that constitutes a continuum and not a cut-off system. The human cognitive system is endowed with mechanisms for symbolization that allow the process of arbitrariness to unfold and the expansion of linguistic complexity. Our study helps to clarify the role of pantomime in a new sign language and how this role might be linked with language itself, showing implications for language evolution research.
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http://dx.doi.org/10.3389/fpsyg.2021.640057 | DOI Listing |
Mem Cognit
January 2025
Department of Linguistics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0108, USA.
Research shows that insufficient language access in early childhood significantly affects language processing. While the majority of this work focuses on syntax, phonology also appears to be affected, though it is unclear exactly how. Here we investigated phonological production across age of acquisition of American Sign Language (ASL).
View Article and Find Full Text PDFBMC Public Health
January 2025
Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Background: Health Technology Assessment (HTA) is crucial for optimizing healthcare investments and improving system efficiency. In Iran, the rising costs of healthcare technologies and systemic inefficiencies have highlighted the need for a structured HTA framework. However, despite academic discussions, HTA has not yet been fully integrated into formal health policy.
View Article and Find Full Text PDFSci Rep
January 2025
University Institute of Computing, Chandigarh University, Punjab, India.
Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with "curse of dimensionality" due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue.
View Article and Find Full Text PDFAfr J Disabil
December 2024
Department of Audiology, Faculty of Human and Community Development, University of the Witwatersrand, Braamfontein, South Africa.
Background: Parents of Deaf or hard-of-hearing (DHH) children are faced with a plethora of overwhelming decisions concerning their children, particularly during the early stages of development. Among these decisions are those concerning assistive devices and the modes of communication for their child.
Objectives: The aim of this study was to explore the perceptions of parents of DHH children towards the various modes of communication for their children within the South African context.
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