Results 71 to 80 of about 198,248 (270)
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
wiley +1 more source
Quantitative Measurement of Hakka Phonetic Distances
LanguagesThis study proposes a novel approach to measuring phonetic distances among six Hailu Hakka vowels ([i, e, ɨ, a, u, o]) by applying Euclidean distance-based calculations from both articulatory and acoustic perspectives.
I-Ping Wan
doaj +1 more source
From Boltzmann to Zipf through Shannon and Jaynes
Entropy, 2020 The word-frequency distribution provides the fundamental building blocks that generate discourse in natural language. It is well known, from empirical evidence, that the word-frequency distribution of almost any text is described by Zipf’s law, at ...
Álvaro Corral +1 more
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Examining Scientific Writing Styles from the Perspective of Linguistic Complexity
, 2018 Publishing articles in high-impact English journals is difficult for scholars around the world, especially for non-native English-speaking scholars (NNESs), most of whom struggle with proficiency in English. In order to uncover the differences in English
Bu, Yi +6 more
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Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
The gentle art of number crunching in linguistic research
Globe, 2015 Review of Sebastian M. Rasinger,Quantitative Research in Linguistics: An Introduction. (Series: Research Methods in Linguistics). London: Bloomsbury, 2013, xii + 286 pp., ISBN 978-1-4725-6697-3.
Kim Ebensgaard Jensen
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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
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EntropyIn a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages.
Alexander Koplenig
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Vers une combinaison des approches en analyse de la langue : l’apport de la méthode quantitative [PDF]
Anadiss, 2016 This work reopens the debate on the choice of the methods in the analysis of the language. He proposes, apart from the classical methods of analysis, to more direct us towards sciences and more particularly the statistics with an aim of giving ...
André Moussa DIOP
doaj
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