{"id":31484,"date":"2016-10-29T02:47:59","date_gmt":"2016-10-29T09:47:59","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2016\/10\/a-real-world-babel-fish-using-neural-networks-for-better-translations"},"modified":"2017-06-04T09:19:08","modified_gmt":"2017-06-04T16:19:08","slug":"a-real-world-babel-fish-using-neural-networks-for-better-translations","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2016\/10\/a-real-world-babel-fish-using-neural-networks-for-better-translations","title":{"rendered":"A real-world Babel Fish: using neural networks for better translations"},"content":{"rendered":"<p><a class=\"blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-real-world-babel-fish-using-neural-networks-for-better-translations.jpeg\"><\/a><\/p>\n<p>Center for Data Science Professor Kyunghyun Cho talks improving multi-way, multilingual translations.<\/p>\n<p>Although machines can outperform humans in almost any skill set today, there is still one process that they have yet to master: translation. Several students learning a second or third language in particular will have undoubtedly encountered some of the more hilarious results produced by Google (mis)Translate.<\/p>\n<p>But a solution was recently proposed by the Center for Data Science\u2019s very own Kyunghyun Cho. Together with Yoshua Bengio and Orhan Firat, their innovative model \u2014 which is the first to handle multi-way, multilingual translations \u2014 clinched <a href=\"https:\/\/arxiv.org\/abs\/1601.01073\" data-href=\"https:\/\/arxiv.org\/abs\/1601.01073\" class=\"\" rel=\"nofollow\">the runners-up position for best paper<\/a> at the 2016 Annual Conference of the North American Chapter of the Association for Computational Linguistics.<\/p>\n<p><!-- Link: <a href=\"https:\/\/medium.com\/@NYUDataScience\/a-real-world-babel-fish-using-neural-networks-for-better-translations-3299117adab5#.lokvnjx3w\">https:\/\/medium.com\/@NYUDataScience\/a-real-world-babel-fish-u....lokvnjx3w<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Center for Data Science Professor Kyunghyun Cho talks improving multi-way, multilingual translations. Although machines can outperform humans in almost any skill set today, there is still one process that they have yet to master: translation. Several students learning a second or third language in particular will have undoubtedly encountered some of the more hilarious results [\u2026]<\/p>\n","protected":false},"author":411,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522,6],"tags":[],"class_list":["post-31484","post","type-post","status-publish","format-standard","hentry","category-innovation","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31484","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=31484"}],"version-history":[{"count":2,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31484\/revisions"}],"predecessor-version":[{"id":59926,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31484\/revisions\/59926"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=31484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=31484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=31484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}