Using sign language research as an example, we argue that both the cross-linguistic descriptive approach to data, advocated by Evans and Levinson (2009), as well as abstract ('formal') analyses are necessary steps towards the development of "neurolinguistic primitives" for investigating how human languages are instantiated in the brain.
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http://dx.doi.org/10.1016/j.lingua.2010.03.014 | DOI Listing |
BMC 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.
Ann Transl Med
December 2024
Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
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