{"id":639867,"date":"2020-02-27T10:52:13","date_gmt":"2019-12-16T21:30:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=639867"},"modified":"2020-02-27T10:52:14","modified_gmt":"2020-02-27T18:52:14","slug":"exploring-massively-multilingual-massive-neural-machine-translation","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/exploring-massively-multilingual-massive-neural-machine-translation\/","title":{"rendered":"Exploring Massively Multilingual, Massive Neural Machine Translation"},"content":{"rendered":"<p>We will be giving an overview of the recent efforts towards universal translation at Google Research. From training a single translation model for 100+ languages to scaling neural networks beyond 80 billion parameters with 1000 layers deep Transformers and several research and engineering challenges that the project has tackled; multi-task learning with hundreds of tasks, learning under heavy data imbalance, trainability of very deep networks, understanding the learned representations, cross-lingual down-stream transfer and many more insights will be shared.<\/p>\n<p>[<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/02\/44675_Exploring-Massively-Multilingual-Massive-Neural-Machine-Translation.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We will be giving an overview of the recent efforts towards universal translation at Google Research. From training a single translation model for 100+ languages to scaling neural networks beyond 80 billion parameters with 1000 layers deep Transformers and several research and engineering challenges that the project has tackled; multi-task learning with hundreds of tasks, [&hellip;]<\/p>\n","protected":false},"featured_media":639879,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556,13545],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-639867","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/817hax8OL4M","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/639867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/639867\/revisions"}],"predecessor-version":[{"id":639891,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/639867\/revisions\/639891"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/639879"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=639867"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=639867"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=639867"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=639867"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=639867"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=639867"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=639867"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=639867"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=639867"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=639867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}