Results 31 to 40 of about 9,958 (247)
Minimally-Augmented Grammatical Error Correction [PDF]
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), 2019 There has been an increased interest in low-resource approaches to automatic grammatical error correction. We introduce Minimally-Augmented Grammatical Error Correction (MAGEC) that does not require any error-labelled data. Our unsupervised approach is based on a simple but effective synthetic error generation method based on confusion sets from ...
Roman Grundkiewicz +1 more
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Studies in Second Language Learning and Teaching, 2022 This study compared the effects of computer-mediated (CM) versus pen-and-paper (P&P) writing on written accuracy and feedback processing in tasks written and rewritten collaboratively following a pedagogical treatment in two intact authentic classrooms ...
Belén González-Cruz +2 more
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System Combination for Grammatical Error Correction [PDF]
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014 Different approaches to high-quality grammatical error correction have been proposed recently, many of which have their own strengths and weaknesses. Most of these approaches are based on classification or statistical machine translation (SMT). In this paper, we propose to combine the output from a classification-based system and an SMT-based system to
Raymond Hendy Susanto +2 more
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Automated Grammatical Error Correction:A Comprehensive Review
NUST Journal of Engineering Sciences, 2018 Automatic Grammatical Error Correction is one of the most challenging and continuously evolving areas of linguistics which aims at automatically detecting and correcting the grammatical errors in the text.
Sadaf Abdul Rauf +5 more
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Automatic Correction of Indonesian Grammatical Errors Based on Transformer
Applied Sciences, 2022 Grammatical error correction (GEC) is one of the major tasks in natural language processing (NLP) which has recently attracted great attention from researchers.
Ahmad Musyafa +4 more
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The Effect of Considering Students' Attitudes Towards Methods of Error Correction on the Grammatical Accuracy of their English Writing [PDF]
Teaching English Language, 2007 An extremely important issue in any approach of teaching and learning second/foreign language is that students receive feedback on their activities in second/foreign language learning milieu.
Hossein Khodabakhshzade
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Revisiting Grammatical Error Correction Evaluation and Beyond
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 Pretraining-based (PT-based) automatic evaluation metrics (e.g., BERTScore and BARTScore) have been widely used in several sentence generation tasks (e.g., machine translation and text summarization) due to their better correlation with human judgments over traditional overlap-based methods.
Peiyuan Gong +3 more
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Enhancing Grammatical Error Correction Systems with Explanations
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023 9 pages, 7 figures, accepted to the main conference of ACL ...
Yuejiao Fei +5 more
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Mathematics, 2023 A machine learning model for correcting errors in Ukrainian texts has been developed. It was established that the neural network has the ability to correct simple sentences written in Ukrainian; however, the development of a full-fledged system requires ...
Vasyl Lytvyn +4 more
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Ensemble Distillation Approaches for Grammatical Error Correction [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Ensemble approaches are commonly used techniques to improving a system by combining multiple model predictions. Additionally these schemes allow the uncertainty, as well as the source of the uncertainty, to be derived for the prediction. Unfortunately these benefits come at a computational and memory cost. To address this problem ensemble distillation (
Fathullah, Y, Gales, MJF, Malinin, A
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