{"id":453534,"date":"2018-01-10T16:38:53","date_gmt":"2018-01-11T00:38:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=453534"},"modified":"2018-01-10T16:47:14","modified_gmt":"2018-01-11T00:47:14","slug":"neural-machine-translation","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/neural-machine-translation\/","title":{"rendered":"Neural Machine Translation"},"content":{"rendered":"

We are using Neural Machine Translation (NMT) to achieve state-of-the-art translation performance. We are working on large scale \/ real-time translation systems to support high quality translation for various languages. We used LSTM Sequence-to-Sequence models. Many of our systems achieved best performance among online translation systems. The systems are widely used for text and speech translation in various scenarios and applications. https:\/\/translator.microsoft.com\/ (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

We are using Neural Machine Translation (NMT) to achieve state-of-the-art translation performance. We are working on large scale \/ real-time translation systems to support high quality translation for various languages. We used LSTM Sequence-to-Sequence models. Many of our systems achieved best performance among online translation systems. The systems are widely used for text and speech […]<\/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":[13556,13545],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-453534","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[656556],"related-downloads":[],"related-videos":[],"related-groups":[268548],"related-events":[],"related-opportunities":[],"related-posts":[483822],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/453534"}],"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":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/453534\/revisions"}],"predecessor-version":[{"id":453540,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/453534\/revisions\/453540"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=453534"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=453534"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=453534"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=453534"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=453534"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}