Unsupervised Learning Multilingual Neural Machine Translation Based on Pseudo-siamese Network
When unsupervised neural machine translation was trained with monolingual data, it inevitably brought a lot of noise information. The errors of the machine translation model accumulated continuously during the training iteration process, affecting the translation effect. To solve this problem, in th...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Chinês |
| Baskı/Yayın Bilgisi: |
Editorial Office of Journal of Zhengzhou University (Engineering Science)
2025-11-01
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| Seri Bilgileri: | Zhengzhou Daxue xuebao. Gongxue ban |
| Konular: | |
| Online Erişim: | http://gxb.zzu.edu.cn/Upload/PaperUpLoad/ea427881-dfea-451f-8a78-f55867d73de1.pdf |
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