Results 121 to 130 of about 6,628,546 (310)

The development of complex verb constructions in British Sign Language [PDF]

, 2002
This study focuses on the mapping of events onto verb-argument structures in British Sign Language (BSL). The development of complex sentences in BSL is described in a group of 30 children, aged 3;2–12;0, using data from comprehension measures and ...
Herman, R., Morgan, G., Woll, B.
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

'Syntactic perturbation' during production activates the right IFG, but not Broca’s area or the ATL

Frontiers in Psychology, 2016
Research on the neural organization of syntax – the core structure-building component of language – has focused on Broca’s area and the anterior temporal lobe (ATL) as the chief candidates for syntactic processing.
William eMatchin, Greg eHickok
doaj   +1 more source

Late L2 Acquisition and Phonological Memory Development [PDF]

, 2017
The development of phonological memory, a subdivision of short term memory, is crucial to learning and analyzing sequences of sounds to form words and phrases.
Westerhoff, Madeline
core   +1 more source

Neural networks for sentence comprehension and production: An ALE‐based meta‐analysis of neuroimaging studies

Human Brain Mapping, 2019
Comprehending and producing sentences is a complex endeavor requiring the coordinated activity of multiple brain regions. We examined three issues related to the brain networks underlying sentence comprehension and production in healthy individuals ...
Matthew Walenski, E. Europa, D. Caplan, C. Thompson   +3 more
semanticscholar   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
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, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Assisting and advising the sentencing decision process : the pursuit of 'quality' in pre-sentence reports [PDF]

, 2008
Pre-sentence reports are an increasingly prevalent feature of the sentencing process. Yet, although judges have been surveyed about their general views, we know relatively little about how such reports are read and interpreted by judges considering ...
Burns, Nicola, Halliday, Simon, Hutton, Neil, McNeill, Fergus, Tata, Cyrus   +4 more
core   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Syntactic flexibility and planning scope: The effect of verb bias on advance planning during sentence recall

Frontiers in Psychology, 2014
In sentence production, grammatical advance planning scope depends on contextual factors (e.g., time pressure), linguistic factors (e.g., ease of structural processing), and cognitive factors (e.g., production speed).
Maartje evan de Velde, Maartje evan de Velde, Antje eMeyer, Antje eMeyer   +3 more
doaj   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source