Results 51 to 60 of about 119,985 (286)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Le corpus multilingue InterCorp : nouveaux paradigmes de recherche en linguistique contrastive et en traductologie [PDF]
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
Building Online Corpora of Philippine Languages [PDF]
PACLIC 23 / City University of Hong Kong / 3-5 December ...
Dita Shirley N. +2 more
core +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
Zapotec Language Activism And Talking Dictionaries [PDF]
Online dictionaries have become a key tool for some indigenous communities to promote and preserve their languages, often in collaboration with linguists.
Fahringer, J. +3 more
core +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
Japanese-English Parallel Corpora in the Classroom : Applications and Challenges [PDF]
Computerized corpora have given linguists crucial new insights on the usage of language. With the help of software, it is possible to index the words which appear in a large collection of text and analyze word usage and frequency.
Michael P. McGuire
core +1 more source
Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus [PDF]
The evaluative character of a word is called its semantic orientation. A positive semantic orientation implies desirability (e.g., "honest", "intrepid") and a negative semantic orientation implies undesirability (e.g., "disturbing", "superfluous").
Littman, Michael L., Turney, Peter D.
core +2 more sources
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
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 +7 more
wiley +1 more source
Curating corpora with classifiers: A case study of clean energy sentiment online
12 pages, 6 ...
Arnold, Michael V. +2 more
openaire +2 more sources

