HSGAR: Hybrid Semantic-Guided Adversarial Reconstruction for semantic-preserving machine translation
Machine translation systems have achieved remarkable fluency and accuracy using Transformer-based architectures, yet they continue to struggle with preserving semantic consistency. To overcome these challenges, this paper proposes HSGAR, a novel Hybrid Semantic-Guided Adversarial Reconstruction fram...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2026-04-01
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| Schriftenreihe: | Alexandria Engineering Journal |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S1110016826001961 |
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