Results 31 to 40 of about 223,492 (342)
Advanced Science, EarlyView.With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu +11 more
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An individual subjectivist critique of the use of corpus linguistics to inform pedagogical materials
Dialogic Pedagogy, 2016 Corpus linguistics, or the gathering together of language into a body for analysis and development of materials, is claimed to be an assured, established method (or field) that valuably informs pedagogical materials and knowledge of language (e.g.
Kendall Richards, Nick Pilcher
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Corpus approaches to language in the media [PDF]
, 2018 The main aim of this chapter is to offer an overview of research that has adopted the methodology of Corpus Linguistics to study aspects of language use in the media.
Jaworska, Sylvia
core
Charles C. Fries, linguistics and corpus linguistics [PDF]
, 2008 Halliday has long claimed that information concerning the relative frequencies of the various options within a system should be considered part of the system itself. Such a position entails that linguists have some basis for describing these frequencies.
Fries, Peter H.
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In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
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LanguagesDifferent methods and sources of information have been proposed in the literature to study the processing of language and, in particular, instances of formulaic language such as multiword units.
Gaëtanelle Gilquin
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Corpus Linguistics for translation and contrastive studies: A guide for research
Translation and Interpreting : the International Journal of Translation and Interpreting Research, 2021 ‘Corpus’ refers to “a large collection of authentic texts that have been gathered in electronic form according to a specific set of criteria” (Bowker & Pearson, 2002, p. 9). Since their advent in the 1960s, corpora have been very useful and applicable in
Mehrdad Farahani
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What is corpus linguistics? What the data says [PDF]
, 2008 Stubbs (2006), in his state of the art overview, draws attention to the frequent reticence or vagueness of corpus analysts in discussing their operational methods within a scientific context, (a context addressed in detail in Partington forthcoming ...
Taylor, Charlotte
core
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
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 +4 more
wiley +1 more source