This study examined whether decoding and linguistic comprehension abilities, broadly defined by the Simple View of Reading, in grade 1 each uniquely predicted the grade 6 writing performance of English-speaking children (n = 76) who were educated bilingually in both English their first language and French, a second language. Prediction was made from (1) English to English; (2) French to French; and (3) English to French. Results showed that both decoding and linguistic comprehension scores predicted writing accuracy but rarely predicted persuasive writing. Within the linguistic comprehension cluster of tests, Formulating Sentences was a strong consistent within- and between-language predictor of writing accuracy. In practical terms, the present results indicate that early screening for later writing ability using measures of sentence formulation early in students' schooling, in their L1 or L2, can provide greatest predictive power and allow teachers to differentiate instruction in the primary grades. Theoretically, the present results argue that there are correlations between reading-related abilities and writing abilities not only within the same language but also across languages, adding to the growing body of evidence for facilitative cross-linguistic relationships between bilinguals' developing languages.
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http://dx.doi.org/10.1111/desc.12406 | DOI Listing |
Vis Intell
December 2024
Department of Information Technology and Electrical Engineering, ETH Zurich, Sternwartstrasse 7, Zürich, Switzerland.
The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. Given the wide application of low-bit quantization for LLMs in resource-constrained scenarios, we explore LLaMA3's capabilities when quantized to low bit-width.
View Article and Find Full Text PDFJ Exp Psychol Learn Mem Cogn
December 2024
University at Buffalo, The State University of New York, Department of Psychology.
Speech intonation conveys a wealth of linguistic and social information, such as the intention to ask a question versus make a statement. However, due to the considerable variability in our speaking voices, the mapping from meaning to intonation can be many-to-many and often ambiguous. Previous studies suggest that the comprehension system resolves this ambiguity, at least in part, by adapting to recent exposure.
View Article and Find Full Text PDFJ Child Lang
January 2025
The Graduate Center, City University of New York, New York City, NY, USA.
This study will investigate how children acquire the option to drop the subject of a sentence, or null subjects (e.g., "Tickles me" instead of "He tickles me").
View Article and Find Full Text PDFAustralas J Ageing
January 2025
School of Nursing and Midwifery, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Objectives: To describe sociodemographic characteristics and comprehensive day-to-day care and support needs of older Victorians requiring government-funded home-based aged-care, and to explore associations between vulnerability factors and complexity indicators in this population.
Methods: A population-based observational study was conducted using de-identified, routinely collected aged-care assessment data for Victorians approved for a Home Care Package (HCP) between January 2019 and June 2022.
Results: The study population (n = 94,975 individuals), approved for one of four HCP levels (Levels 1 (5%), 2 (38%), 3 (34%) or 4 (24%)), was aged 82 years on average (SD 7.
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