Results 101 to 110 of about 975,756 (347)
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
Compilation of a University Learner Corpus
Corpus Linguistics (CL) and Second Language Acquisition (SLA) areas have been complementary background for researchers interested in contrastive interlanguage analysis (Granger, 1998), shedding light on our understanding of English acquisition by various learner groups.
Deise Prina Dutra +1 more
openaire +2 more sources
(Generalized Linear) Mixed‐Effects Modeling: A Learner Corpus Example
S. Gries
semanticscholar +1 more source
MERLIN Written Learner Corpus for Czech, German, Italian 1.1
The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data.
Boyd, Adriane +19 more
core
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Analyzing learner language: the case of the Hebrew Learner Essay Corpus
Abstract We present the Hebrew Learner Essay Corpus (HELEECS): an annotated corpus of Hebrew language argumentative essays authored by prospective higher-education students. The corpus includes essays by two main populations: (1) essays by native speakers of Hebrew, written as part of the psychometric exam that is used to assess their future ...
Chen Gafni +5 more
openaire +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Learner corpora and World Englishes: A (brief) introduction
Over twenty years ago, Sridhar & Sridhar (1986) called for a rapprochement between Second Language Acquisition (SLA) and the study of indigenised varieties of English (nowadays often referred to as “World Englishes”).
Gilquin, Gaëtanelle +1 more
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
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
Korpusová analýza jazykové přesnosti v písemném projevu studentů angličtiny jako cizího jazyka. / A corpus-based analysis of EFL learners’ accuracy in writing. [PDF]
This study presents a part of results of a research project from the field of foreign language learning and teaching, in which an analysis of a learner corpus was carried out.
František Tůma
doaj

