Results 31 to 40 of about 284,138 (314)
A Simple Recipe for Multilingual Grammatical Error Correction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 This paper presents a simple recipe to trainstate-of-the-art multilingual Grammatical Error Correction (GEC) models. We achieve this by first proposing a language-agnostic method to generate a large number of synthetic examples.
S. Rothe +4 more
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Crowdsourcing for grammatical error correction [PDF]
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing, 2014 We discuss the problem of grammatical error correction, which has gained attention for its usefulness both in the development of tools for learners of foreign languages and as a component of statistical machine translation systems. We believe the task of suggesting grammar and style corrections in writing is well suited to a crowdsourcing solution but ...
Ellie Pavlick +2 more
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Grammatical Error Correction with Denoising Autoencoder [PDF]
International Journal of Advanced Computer Science and Applications, 2021 A denoising autoencoder sequence-to-sequence model based on transformer architecture proved to be useful for underlying tasks such as summarization, machine translation, or question answering. This paper investigates the possibilities of using this model type for grammatical error correction and introduces a novel method of remark-based model ...
Krzysztof Pajak, Adam Gonczarek
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Method for Chinese Grammar Error Detection Integrating ELECTRA and Text Local Information [PDF]
Jisuanji gongcheng, 2023 Grammar error detection is a basic task in natural language processing.The task aims to automatically identify typos, grammar, and word order errors in text.Compared with other languages, Chinese grammar is flexible and lacks symbolic information such as
CHEN Bailin, WANG Tianji, REN Lina, HUANG Ruizhang
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Cross-Sentence Grammatical Error Correction [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Automatic grammatical error correction (GEC) research has made remarkable progress in the past decade. However, all existing approaches to GEC correct errors by considering a single sentence alone and ignoring crucial cross-sentence context. Some errors can only be corrected reliably using cross-sentence context and models can also benefit from the ...
Shamil Chollampatt +2 more
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Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios [PDF]
PeerJ Computer Science, 2023 The correction of grammatical errors in natural language processing is a crucial task as it aims to enhance the accuracy and intelligibility of written language.
Zeinab Mahmoud +6 more
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Controllable data synthesis method for grammatical error correction [PDF]
Frontiers of Computer Science, 2021 Due to the lack of parallel data in current Grammatical Error Correction (GEC) task, models based on Sequence to Sequence framework cannot be adequately trained to obtain higher performance. We propose two data synthesis methods which can control the error rate and the ratio of error types on synthetic data.
Yang, Liner +4 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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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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Mining Error Templates for Grammatical Error Correction
, 2022 Some grammatical error correction (GEC) systems incorporate hand-crafted rules and achieve positive results. However, manually defining rules is time-consuming and laborious. In view of this, we propose a method to mine error templates for GEC automatically. An error template is a regular expression aiming at identifying text errors.
Zhang, Yue +5 more
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