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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Tao Qin</author_name><author_url>https://www.microsoft.com/en-us/research/people/taoqin/</author_url><title>Neural Machine Translation - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="zfvxcbH4LV"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/machine-translation-2/"&gt;Neural Machine Translation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/machine-translation-2/embed/#?secret=zfvxcbH4LV" width="600" height="338" title="&#x201C;Neural Machine Translation&#x201D; &#x2014; Microsoft Research" data-secret="zfvxcbH4LV" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>We are working on neural machine translation, using deep neural networks for machine translation. We achieved human parity in translating news from Chinese to English. Our Papers Xu Tan, Yi Ren, Di He, Tao Qin, Tie-Yan Liu, Multilingual Neural Machine Translation with Knowledge Distillation, ICLR 2019. Yiren Wang, Fei Tian, Di He, Tao Qin, Chengxiang [&hellip;]</description></oembed>
