Results 61 to 70 of about 23,981 (216)
Corpus-based studies in conference interpreting
Слово.ру: балтийский акцент, 2019 Corpus-based interpreting studies (CIS) are a relatively recent “[…] Off-shoot of Corpus-based Translation Studies” to quote the seminal paper (1998) by the late Miriam Shlesinger, a constant source of inspiration for the T&I community.
Russo M.
doaj +1 more source
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 +3 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
From Regularities to Norms in the Secondary Formation of Romanian ICT Terms
Linguaculture, 2012 Starting from a parallel corpus of general use texts, this article investigates what kind of regularities are discernible in the formation of the terms used in the Romanian language of information and communication technology (ICT).
Sorina Postolea
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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 +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
TradTerm, 2019 This article aims at analyzing possible stylistic patterns related to the translational process of brazilianisms present in a Darcy Ribeiro’s work, Maíra (1978), comparing it to other translations of Brazilian publications which integrate the ...
Talita Serpa +2 more
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Le corpus multilingue InterCorp : nouveaux paradigmes de recherche en linguistique contrastive et en traductologie [PDF]
Studii de Lingvistica, 2017 Linguistic corpora have changed the research paradigm in many linguistic disciplines, allowing researchers to exploit large data based on real occurrences in authentic contexts.
Olga Nádvorníková
doaj
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source