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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier B.V.
2023
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| 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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