A Clause-Based Data Augmentation Method for Low-Resource Neural Machine Translation
Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low-resource environments due to the scarcity of training data. To mitigate this issue, this paper proposes a nov...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10945360/ |
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