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Recent scholarship in sociolinguistics and language education has examined how race and language intersect each other and how racism influences linguistic and educational practices.
Ryuko Kubota
semanticscholar +1 more source
Indigenous Language Revitalization and Applied Linguistics: Parallel Histories, Shared Futures?
Damages done to Indigenous languages occurred due to colonial forces, some of which continue to this day, and many believe efforts to revive them should involve more than Indigenous peoples alone. Therefore, the need for learning Indigenous languages as “
Onowa McIvor
semanticscholar +1 more source
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Pragmatisation of the syntax [PDF]
This article presents the role of modeling in linguistics. It is used to recognize regularities in the language. Special emphasis was put on the linguistic analysis universal model of Józef Darski.
Żebrowska, Ewa
core +2 more sources
Research tasks on ethics in applied linguistics
The growing concern for ethics in applied linguistics may be attributed to attempts to stem the rising incidence of ethical lapses in order to ensure that the core ethical principles of (1) respect for persons, (2) yielding optimal benefits while ...
Peter I. De Costa +4 more
semanticscholar +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
A History of Applied Linguistics From 1980 to the present
Kees de Bot’s “A History of Applied Linguistics: From 1980 to the Present”, published by Routledge in 2015, is a seminal work that meticulously traces the trajectory of applied linguistics over the past few decades.
Joko Slamet
doaj +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

