{"id":30597,"date":"2016-09-29T00:46:29","date_gmt":"2016-09-29T07:46:29","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2016\/09\/google-unleashes-deep-learning-tech-on-language-with-neural-machine-translation"},"modified":"2017-06-04T09:25:08","modified_gmt":"2017-06-04T16:25:08","slug":"google-unleashes-deep-learning-tech-on-language-with-neural-machine-translation","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2016\/09\/google-unleashes-deep-learning-tech-on-language-with-neural-machine-translation","title":{"rendered":"Google unleashes deep learning tech on language with Neural Machine Translation"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/google-unleashes-deep-learning-tech-on-language-with-neural-machine-translation.png\"><\/a><\/p>\n<p>Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with. Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for years, and <a target=\"_blank\" href=\"https:\/\/research.googleblog.com\/2016\/09\/a-neural-network-for-machine.html\">today is its official debut<\/a>.<\/p>\n<p>The Google Neural Machine Translation system, deployed today for Chinese-English queries, is a step up in complexity from existing methods. Here\u2019s how things have evolved (in a nutshell).<\/p>\n<p><!-- Link: <a href=\"https:\/\/techcrunch.com\/2016\/09\/27\/google-unleashes-deep-learning-tech-on-language-with-neural-machine-translation\/?ncid=rss&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+Techcrunch+(TechCrunch)&sr_share=facebook\">https:\/\/techcrunch.com\/2016\/09\/27\/google-unleashes-deep-lear...e=facebook<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with. Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for [\u2026]<\/p>\n","protected":false},"author":411,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-30597","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/30597","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/411"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=30597"}],"version-history":[{"count":2,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/30597\/revisions"}],"predecessor-version":[{"id":60239,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/30597\/revisions\/60239"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=30597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=30597"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=30597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}