1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchBen Ryonhttps://www.microsoft.com/en-us/research/people/v-beryonmicrosoft-com/Dual Learning for Machine Translation - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="hfUHPV9nc9"><a href="https://www.microsoft.com/en-us/research/publication/dual-learning-machine-translation/">Dual Learning for Machine Translation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/dual-learning-machine-translation/embed/#?secret=hfUHPV9nc9" width="600" height="338" title="“Dual Learning for Machine Translation” — Microsoft Research" data-secret="hfUHPV9nc9" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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While neural machine translation (NMT) is making good progress in the past two years, tens of millions of bilingual sentence pairs are needed for its training. However, human labeling is very costly. To tackle this training data bottleneck, we develop a dual-learning mechanism, which can enable an NMT system to automatically learn from unlabeled data […]