SE-Enhancer: Low-Resource Machine Translation Based on Enhanced SimCSE and Layer Fusion
Low-resource machine translation holds significant practical importance for the translation of small languages. Currently, the primary challenge in low-resource machine translation is the scarcity of bilingual parallel corpora. To address this issue, this paper proposes a SE-Enhancer model based on...
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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/10973094/ |
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