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

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...

Full description

Bibliographic Details
Main Authors: Aiman Solyman, Marco Zappatore, Wang Zhenyu, Zeinab Mahmoud, Ali Alfatemi, Ashraf Osman Ibrahim, Lubna Abdelkareim Gabralla
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Grammatical error correction
Data augmentation
Synthetic data
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S131915782300126X

Internet

http://www.sciencedirect.com/science/article/pii/S131915782300126X

Similar Items