RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation
In Neural Machine Translation (NMT), data augmentation is an effective method for improving model robustness by generating diverse augmented data from existing datasets. Typically, the quality of augmented data is evaluated based on its similarity and diversity to training data. Current approaches o...
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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/11037679/ |
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