Results 121 to 130 of about 61,567 (299)
An Analysis of Students’ Grammatical Errors and The Strategies to Cope With Their Errors
This research was conducted to describe the kinds of grammatical errors, to discover the sources of the errors, and to find out the strategies in grammatical errors. This study applied descriptive qualitaive research design.
Ambarwati, Suci
core
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Exploring Grammatical Errors in English Abstracts: Insights from UMI Student Journals
This study investigates the grammatical errors present in English abstracts written by students at Universitas Muslim Indonesia (UMI), aiming to identify prevalent error types and uncover underlying factors influencing these lapses.
Ratnawati Ratnawati +3 more
doaj +1 more source
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
GPT-3.5 for Grammatical Error Correction
This paper investigates the application of GPT-3.5 for Grammatical Error Correction (GEC) in multiple languages in several settings: zero-shot GEC, fine-tuning for GEC, and using GPT-3.5 to re-rank correction hypotheses generated by other GEC models. In the zero-shot setting, we conduct automatic evaluations of the corrections proposed by GPT-3.5 using
Katinskaia Anisia, Yangarber Roman
openaire +5 more sources
A proposal for the tagging of grammatical and pragmatic errors [PDF]
This journal provides open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.Errors should be viewed as a key feature of language learning and language use. In this
Mestre-Mestre, Eva M. +1 more
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
The Use of Indirect Corrective Feedback to Eliminate the Grammatical Errors in Students’ Writing
This study aims to determine how the benefits of Indirect Corrective Feedback to improve students' ability in reducing the grammatical errors in their writings.
Nia Pujiawati
doaj +1 more source
An Analysis of Grammatical Errors on Speaking Activities
<p>This study aims to analyze the grammatical errors and to provide description of errors on speaking activities using simple present and present progressive tenses made by the second year students of English Education Department, Palangka Raya University. The subject for this study was 30 students.
openaire +3 more sources

