Purpose: The study sought to understand Haitian parents' perspectives on heritage language maintenance with typically developing children.
Method: Semistructured interviews were conducted with 10 Haitian parents of typically developing children. A thematic analysis was conducted to determine recurring themes.
Results: Participants desired to preserve the heritage language; however, factors such as linguistic and class ideologies of Haiti, xenophobia within the United States, and English monolingualism hindered parents' success in maintaining the heritage language.
Conclusion: The findings from this study demonstrate the need for additional research and resources to help support the Haitian community's desire for heritage language maintenance to promote healthy communication practices, decrease language loss, and foster social communication in the home and community.
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http://dx.doi.org/10.1044/2024_AJSLP-23-00272 | DOI Listing |
Front Psychol
January 2025
Institute for Language Sciences, Utrecht University, Utrecht, Netherlands.
Introduction: Both multilingualism and developmental language disorder (DLD) may be associated with inferior performance in the majority language, albeit for different reasons. At the same time, there is a growing body of evidence that multilingualism may have a positive effect on foreign language performance. This study tests the hypothesis that the positive effects of multilingualism on foreign language learning may be smaller in children with DLD compared to their multilingual peers with typical language development.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON CA K1A 0C6, Canada.
It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Hospital Medicine Service, Immigrant Health and Cancer Disparities Service, Departments of Medicine and Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: Prior to enrolling in medical Spanish courses, students typically acquire their Spanish skills either through formal second language education only (L2 learners) or by being exposed to Spanish during childhood at home (heritage learners).
Objective: To categorize the language exposures of medical students who participated in a medical Spanish course and explore the associations of exposures with their medical language proficiency score on the Physician Oral Language Observation Matrix (POLOM).
Setting And Participants: Forty-one fourth-year medical students (2021-2022) self-reported demographics and prior language exposures and participated in videorecorded POLOM-rated Spanish standardized patient encounters.
PLoS One
January 2025
School of Literature, Huaiyin Normal University, Huaian, China.
The fine-grained mining and construction of semantic associations within multimodal intangible cultural heritage (ICH) resources are crucial for deepening our understanding of their knowledge content and ensuring their systematic protection and transmission in the digital and intelligent era. This paper addresses the urgent need for the digital preservation and transmission of ICH resources. Following a review of current research on Qingyang sachets and ICH, the study introduces an ontology-based approach to constructing a semantic description model for the multimodal digital resources related to Qingyang sachets.
View Article and Find Full Text PDFIn the vibrant linguistic landscape of Bengali, spoken by millions in Bangladesh and India, the gap between saintly and common terms is culturally and computationally significant. Recognising this, we introduce BanglaBlend, a pioneering dataset created to capture these stylistic distinctions. BanglaBlend comes with 7350 annotated sentences, 3675 in saintly form and 3675 in common form, covering a crucial need in natural language processing (NLP) resources for Bangla.
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