Results 71 to 80 of about 201,491 (318)
Large Language Model‐Based Chatbots in Higher Education
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
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Logometry's intent is to take the full measure of discourse through the coordination of quantitative and qualitative explorations into explicit interpretative pathways. Herein, we illustrate the theoretical paradigm of the method through the step-by-step
Damon Mayaffre
doaj +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Syntactic molecule (SM) is the minimum functional and syntactically autonomous unit able to serve as an answer to the question. Goals. The paper formulates the principles of identification of the SM. Results. The main features of grammatical tagging in
Sergej A. Krylov
doaj +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Quantitative Measurement of Hakka Phonetic Distances
This 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
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
doaj +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
The gentle art of number crunching in linguistic research
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
doaj +1 more source

