Results 21 to 30 of about 10,325 (210)

The Kurdish Language Corpus: State of the Art

Science Journal of University of Zakho, 2023
The notable growth of the digital communities and different online news streams led to the growing availability of online natural language content. However not all natural languages have the enough attention of being made readable and comprehendible to ...
Media Azzat, Karwan Jacksi, Ismael Ali
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Natural Resistance to Ovarian Hyperstimulation Syndrome in Estrildid Finches Reveals Macrophage GPR183 as a Potential Therapeutic Target

Advanced Science, EarlyView.
Ovarian macrophage depletion reverses OHSS resistance in estrildid finches and exacerbates OHSS symptoms in rats. Activating macrophage GPR183 alleviates OHSS by reducing pro‐inflammatory factors, increasing immunomodulatory molecules, remodeling CD44/SDC4‐mediated communication, and restoring immune homeostasis.
Xiaofei Yan, Yongjie Huang, Jiabao Yang, Su Ma, Songsong Liu, Xuan Huang, Juergen Brosius, Huaping Zheng, Bing Yao, Li Chen, Shanshan Lai, Cheng Deng   +11 more
wiley   +1 more source

Exploring mega-corpora: Google Ngram Viewer and the Corpus of Historical American English

EuroAmerican Journal of Applied Linguistics and Languages, 2014
The creation of internet-based mega-corpora such as the Corpus of Contemporary American English (COCA), the Corpus of Historical American English (COHA) (Davies, 2011a) and the Google Ngram Viewer (Cohen, 2010) signals a new phase in corpus-based ...
Eric Friginal, Marsha Walker, Janet Beth Randall   +2 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Do Dictionary Users Really Look Up Frequent Words?-On the Overestimation of the Value of Corpus-based Lexicography

Lexikos, 2011
<p>Abstract: An innovative online Swahili–English dictionary project is presented. A careful study of some of the log files attached to this reference work reveals some hitherto unknown as-pects of true dictionary look-up behaviour, which results ...
Gilles-Maurice de Schryver, David Joffe, Pitta Joffe, Sarah Hillewaert   +3 more
doaj   +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

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Proposed Framework for the Evaluation of Standalone Corpora Processing Systems: An Application to Arabic Corpora

The Scientific World Journal, 2014
Despite the accessibility of numerous online corpora, students and researchers engaged in the fields of Natural Language Processing (NLP), corpus linguistics, and language learning and teaching may encounter situations in which they need to develop their
Abdulmohsen Al-Thubaity, Hend Al-Khalifa, Reem Alqifari, Manal Almazrua   +3 more
doaj   +1 more source