Optimizing the impact of data augmentation for low-resource grammatical error correction

Grammatical Error Correction (GEC) refers to the automatic identification and amendment of grammatical, spelling, punctuation, and word-positioning errors in monolingual texts. Neural Machine Translation (NMT) is nowadays one of the most valuable techniques used for GEC but it may suffer from scarci...

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Bibliographic Details
Main Authors: Aiman Solyman, Marco Zappatore, Wang Zhenyu, Zeinab Mahmoud, Ali Alfatemi, Ashraf Osman Ibrahim Elsayed, Lubna Abdelkareim Gabralla
Format: Article
Language:en
Published: Elsevier B.V. 2023
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/45150/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/45150/
https://doi.org/10.1016/j.jksuci.2023.101572
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