_unsupervised-neural-machine-translation-with-weight-sharing.jpg "Unsupervised Neural Machine Translation with Weight Sharing from new model gan Video Screenshot Preview")
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⏲ Duration: 11 min 16 sec
✓ Published: 20-Aug-2018
✓ Published: 20-Aug-2018
Description:
Unsupervised neural machine translation (NMT) is a recently proposed approach for machine translation which aims to train the model without using any labeled data. The models proposed for unsupervised NMT often use only one shared encoder to map the pairs of sentences from different languages to a shared-latent space, which is weak in keep-ing the unique and internal characteristics of each language, such as the style, terminology, and sentence structure. To address this issue, we introduce an e
Unsupervised neural machine translation (NMT) is a recently proposed approach for machine translation which aims to train the model without using any labeled data. The models proposed for unsupervised NMT often use only one shared encoder to map the pairs of sentences from different languages to a shared-latent space, which is weak in keep-ing the unique and internal characteristics of each language, such as the style, terminology, and sentence structure. To address this issue, we introduce an e
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