Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios
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. However, developing a grammatical error correction (GEC) framework for low-resource languages presents significant challenges due to the l...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
PeerJ, Inc.
2023
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38438/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38438/2/FULL%20TEXT.pdf |