{"id":558228,"date":"2018-12-26T23:35:08","date_gmt":"2018-12-27T07:35:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=558228"},"modified":"2022-04-22T03:02:58","modified_gmt":"2022-04-22T10:02:58","slug":"machine-translation-2","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/machine-translation-2\/","title":{"rendered":"Neural Machine Translation"},"content":{"rendered":"

We are working on neural machine translation, using deep neural networks for machine translation. We achieved human parity (opens in new tab)<\/span><\/a> in translating news from Chinese to English.<\/p>\n

Our Papers<\/strong>
\nXu Tan, Yi Ren, Di He, Tao Qin, Tie-Yan Liu, Multilingual Neural Machine Translation with Knowledge Distillation (opens in new tab)<\/span><\/a>, ICLR<\/strong> 2019.
\nYiren Wang, Fei Tian, Di He, Tao Qin, Chengxiang Zhai, Tie-Yan Liu, Non-Autoregressive Machine Translation with Auxiliary Regularization (opens in new tab)<\/span><\/a>, AAAI<\/strong> 2019.
\nJunliang Guo, Xu Tan, Di He, Tao Qin, and Tie-Yan Liu, Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input (opens in new tab)<\/span><\/a>, AAAI<\/strong> 2019.
\nYingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, and Tao Qin, Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder (opens in new tab)<\/span><\/a>, AAAI<\/strong> 2019.
\nTianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, and Tie-Yan Liu, Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation (opens in new tab)<\/span><\/a>, NIPS <\/strong>2018.
\nLijun Wu, Fei Tian, Tao Qin, Jianhuang Lai and Tie-Yan Liu, A Study of Reinforcement Learning for Neural Machine Translation (opens in new tab)<\/span><\/a>, EMNLP<\/strong> 2018.
\nXu Tan, Lijun Wu, Di He, Fei Tian, Tao Qin, Jianhuang Lai, and Tie-Yan Liu, Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter (opens in new tab)<\/span><\/a>, EMNLP<\/strong> 2018.
\nLijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, and Tie-Yan Liu, Adversarial Neural Machine Translation (opens in new tab)<\/span><\/a>, ACML<\/strong> 2018.
\nHany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou, Achieving Human Parity on Automatic Chinese to English News Translation (opens in new tab)<\/span><\/a>, arXiv 2018.
\nYanyao Shen, Xu Tan, Di He, Tao QIN, and Tie-Yan Liu, Dense Information Flow for Neural Machine Translation (opens in new tab)<\/span><\/a>, NAACL<\/strong> 2018. [code (opens in new tab)<\/span><\/a>]
\nYijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, and Tie-Yan Liu, Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization (opens in new tab)<\/span><\/a>, AAAI<\/strong> 2018.
\nDi He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, and Tie-Yan Liu, Decoding with Value Networks for Neural Machine Translation (opens in new tab)<\/span><\/a>, NIPS<\/strong> 2017.
\nDi He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma, Dual Learning for Machine Translation (opens in new tab)<\/span><\/a>, NIPS<\/strong> 2016.<\/p>\n","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-558228","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Dongdong Zhang","user_id":31677,"people_section":"Section name 1","alias":"dozhang"},{"type":"user_nicename","display_name":"Junliang Guo","user_id":41188,"people_section":"Section name 1","alias":"junliangguo"},{"type":"user_nicename","display_name":"Rui Wang","user_id":39880,"people_section":"Section name 1","alias":"ruiwa"},{"type":"user_nicename","display_name":"Shufang Xie","user_id":39886,"people_section":"Section name 1","alias":"shufxi"},{"type":"user_nicename","display_name":"Shuming Ma","user_id":39706,"people_section":"Section name 1","alias":"shumma"},{"type":"user_nicename","display_name":"Tao Qin","user_id":33871,"people_section":"Section name 1","alias":"taoqin"},{"type":"user_nicename","display_name":"Yingce Xia","user_id":37784,"people_section":"Section name 1","alias":"yinxia"},{"type":"user_nicename","display_name":"Tie-Yan Liu","user_id":34431,"people_section":"Section name 1","alias":"tyliu"},{"type":"guest","display_name":"Haoyang Huang","user_id":742429,"people_section":"Section name 1","alias":""}],"msr_research_lab":[199560],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/558228"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/558228\/revisions"}],"predecessor-version":[{"id":558249,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/558228\/revisions\/558249"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=558228"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=558228"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=558228"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=558228"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=558228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}