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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
A study on automatic correction of English grammar errors based on deep learning
Journal of Intelligent Systems, 2022 Grammatical error correction (GEC) is an important element in language learning. In this article, based on deep learning, the application of the Transformer model in GEC was briefly introduced.
Qin Mengyang
doaj +1 more source
A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors [PDF]
, 2007 This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses the XLE LFG parser and English grammar: two versions are presented, one ...
Foster, Jennifer +2 more
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Automatical sampling with heterogeneous corpora for grammatical error correction
Complex & Intelligent SystemsThanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance.
Shichang Zhu +3 more
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Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Automated Detection of Usage Errors in non-native English Writing [PDF]
, 2011 In an investigation of the use of a novelty detection algorithm for identifying inappropriate word combinations in a raw English corpus, we employ an unsupervised detection algorithm based on the one- class support ...
Fujishima, Satoru, Ishizaki, Shun
core
Alexandria Engineering JournalThe increasing demand for intelligent language learning systems, traditional grammar correction models often fail to capture the complex syntactic dependencies and contextual nuances present in learner-generated texts.
Yining Du
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Chinese Grammatical Error Correction Based on Convolutional Sequence to Sequence Model
IEEE Access, 2019 Chinese grammatical error correction (CGEC) is practically useful for learners of Chinese as a second language, but it is a rather challenging task due to the complex and flexible nature of Chinese language so that existing methods for English cannot be ...
Si Li +7 more
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Human Evaluation of Grammatical Error Correction Systems [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 The paper presents the results of the first large-scale human evaluation of automatic grammatical error correction (GEC) systems. Twelve participating systems and the unchanged input of the CoNLL-2014 shared task have been reassessed in a WMT-inspired human evaluation procedure.
Roman Grundkiewicz +2 more
openaire +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source