Zobrazeno 1 - 10
of 185 053
pro vyhledávání: '"Language Barriers"'
Autor:
Taylor, Amelia1,2 (AUTHOR) ataylor@mubas.ac.mw, Kazembe, Paul2,3 (AUTHOR)
Publikováno v:
BMC Health Services Research. 11/13/2024, Vol. 24 Issue 1, p1-26. 26p.
Autor:
Mashaba, Reneilwe G1 (AUTHOR) given.mashaba@ul.ac.za, Seakamela, Kagiso P1 (AUTHOR), Mbombi, Masenyani O1 (AUTHOR), Muthelo, Livhuwani1 (AUTHOR), Makoti, Precious M1 (AUTHOR), Choma, Solomo SR1 (AUTHOR), Maimela, Eric1 (AUTHOR), Ntimana, Cairo B1 (AUTHOR) cairo.ntimane@ul.ac.za
Publikováno v:
BMC Public Health. 10/11/2024, Vol. 24 Issue 1, p1-10. 10p.
Autor:
Reneilwe G Mashaba, Kagiso P Seakamela, Masenyani O Mbombi, Livhuwani Muthelo, Precious M Makoti, Solomo SR Choma, Eric Maimela, Cairo B Ntimana
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Language plays a critical role in health communication, particularly in the management and understanding of non-communicable diseases (NCDs) among elderly populations. This study aimed to explore the language barriers that affect
Externí odkaz:
https://doaj.org/article/c8508c9c050a407aad4c29de4c4c8af6
Publikováno v:
Bulletin of Faculty of Physical Therapy, Vol 29, Iss 1, Pp 1-14 (2024)
Abstract Introduction Language barriers are prevalent across growing societies and are likely to become a larger issue with further population growth. Language barriers impair communication between patients and physical therapists. This systematic re
Externí odkaz:
https://doaj.org/article/c2b71033738c48899c7a5930bdb204f4
Autor:
Koruga, Laura korugalaura@gmail.com, Müller, Nikolai nikomueller@ext.macromedia.de, Erhard, Tobias terhard@sram.com, Ellert, Guido g.ellert@macromedia.de
Publikováno v:
Marketing Review St. Gallen. 2024, Issue 6, p62-68. 7p.
In recent years, Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence. However, training these models from scratch requires substantial computational resources and vast amounts of text data. In this paper
Externí odkaz:
http://arxiv.org/abs/2407.02118
The opacity in developing large language models (LLMs) is raising growing concerns about the potential contamination of public benchmarks in the pre-training data. Existing contamination detection methods are typically based on the text overlap betwe
Externí odkaz:
http://arxiv.org/abs/2406.13236
Navigating the complexities of language diversity is a central challenge in developing robust natural language processing systems, especially in specialized domains like banking. The Moroccan Dialect (Darija) serves as the common language that blends
Externí odkaz:
http://arxiv.org/abs/2405.16482
Akademický článek
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Autor:
Tomec, Tina1, Gričar, Sergej2 sergej.gricar@uni-nm.si
Publikováno v:
Strategic Management (1821-3448). 2024, Vol. 29 Issue 2, p19-31. 13p.