Biolinguistics realizes a scientific approach to study language both as a biological object (the language faculty) and an internal, intensional and individual language system (I-language), spurring a cross-disciplinary exploration of the biological nature of human language. The poverty of stimulus (POS) in language acquisition, together with the roles played by neurobiological factors in linguistic aphasia, specific language impairment and mirror deficits, confirms the biological nature of the language faculty and I-language. Based on the property, the classic molecular genetic study reveals how human genetic endowments canalize the development of human language, and they interact with specific linguistic experience during the maturation of human language. Further, the rapid development of biological research promotes an increasing emphasis on a more nuanced molecular network system, along with the existing interest in one-gene-one-behavioral phenotype. Thus, a synthetic perspective on the study of the biological part of language will function as a new departure for the incoming biolinguistic inquiry.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2741/4841 | DOI Listing |
Br J Gen Pract
January 2025
Salaried GP in Derby. Email:
NPJ Sci Learn
December 2024
Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 475000, Malaysia.
This study evaluates the ability of large language models (LLMs) to deliver criterion-based grading and examines the impact of prompt engineering with detailed criteria on grading. Using well-established human benchmarks and quantitative analyses, we found that even free LLMs achieve criterion-based grading with a detailed understanding of the criteria, underscoring the importance of domain-specific understanding over model complexity. These findings highlight the potential of LLMs to deliver scalable educational feedback.
View Article and Find Full Text PDFNat Commun
December 2024
LEADS group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.
Deep neural networks drive the success of natural language processing. A fundamental property of language is its compositional structure, allowing humans to systematically produce forms for new meanings. For humans, languages with more compositional and transparent structures are typically easier to learn than those with opaque and irregular structures.
View Article and Find Full Text PDFSignal Transduct Target Ther
December 2024
Department of Orthopedic Surgery/Sports Medicine Center, Southwest Hospital, Army Medical University, Chongqing, 400038, China.
Metabolites can double as a signaling modality that initiates physiological adaptations. Metabolism, a chemical language encoding biological information, has been recognized as a powerful principle directing inflammatory responses. Cytosolic pH is a regulator of inflammatory response in macrophages.
View Article and Find Full Text PDFNat Commun
December 2024
Oncology Bioinformatics, Genentech, South San Francisco, CA, USA.
Based on the success of cancer immunotherapy, personalized cancer vaccines have emerged as a leading oncology treatment. Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. Here, we introduce HLApollo, a transformer-based model for peptide-MHC-I (pMHC-I) presentation prediction, leveraging the language of peptides, MHC, and source proteins.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!