{"id":5677,"date":"2017-07-12T23:42:11","date_gmt":"2017-07-12T21:42:11","guid":{"rendered":"http:\/\/lab.wrkshp.fi\/huopaniemi\/?post_type=glossary&#038;p=5677"},"modified":"2018-01-09T17:42:32","modified_gmt":"2018-01-09T15:42:32","slug":"3-5en2","status":"publish","type":"glossary","link":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/glossary\/3-5en2\/","title":{"rendered":"3.5EN2"},"content":{"rendered":"<p>Christopher Manning has described neural machine translation (NMT) as &ldquo;the approach of modeling the&nbsp;<strong>entire&nbsp;<\/strong>[machine translation] process via <strong>one<\/strong> big artificial neural network&rdquo; (<a class=\"glossaryLink cmtt_refer-en\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemBody&gt;Neural Machine Translation and Models with Attention. YouTube video. 3 April 2017. Accessed 1 July 2017.&nbsp;&amp;lt;a href=&amp;quot;https:\/\/youtu.be\/IxQtK2SjWWM&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noopener&amp;quot;&amp;gt;youtu.be\/IxQtK2SjWWM&amp;lt;\/a&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/glossary\/neural-machine-translation-and-models-with-attention-3-april-2017\/\" data-mobile-support=\"0\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Neural Machine Translation and Models with Attention 3 April 2017<\/a>, emphasis in original). Google has replaced its earlier statistical methods with a NMT&nbsp;system of its own, although not in all its language pairs (<a class=\"glossaryLink cmtt_refer-fi\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemBody&gt;Lewis-Kraus, Gideon. 2016. &rdquo;The Great A.I. Awakening.&rdquo; &amp;lt;em&amp;gt;The New York Times&amp;lt;\/em&amp;gt; 14.12.2016. &amp;lt;a href=&amp;quot;http:\/\/www.nytimes.com\/2016\/12\/14\/magazine\/the-great-ai-awakening.html?_r=0&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noopener&amp;quot;&amp;gt;www.nytimes.com\/2016\/12\/14\/magazine\/the-great-ai-awakening.html?_r=0&amp;lt;\/a&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/glossary\/lewis-kraus-2016\/\" data-mobile-support=\"0\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Lewis-Kraus 2016<\/a>). Microsoft Translator has also migrated&nbsp;to an NMT system. On its website, the company promises &ldquo;major advances in translation quality&rdquo; compared to statistical methods: &ldquo;Neural networks better capture the context of full sentences [-] providing [-] more human-sounding output&rdquo; (<a class=\"glossaryLink cmtt_refer-en\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemBody&gt;Microsoft Translator launching Neural Network based translations for all its speech languages, 15 November 2016. Accessed 1 July 2017. &amp;lt;a href=&amp;quot;https:\/\/blogs.msdn.microsoft.com\/translation\/2016\/11\/15\/microsoft-translator-launching-neural-network-based-translations-for-all-its-speech-languages\/&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noopener&amp;quot;&amp;gt;blogs.msdn.microsoft.com\/translation\/2016\/11\/15\/microsoft-translator-launching-neural-network-based-translations-for-all-its-speech-languages\/&amp;lt;\/a&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/glossary\/microsoft-translator-launching-neural-network-based-translations-for-all-its-speech-languages-15-november-2016\/\" data-mobile-support=\"0\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Microsoft Translator launching Neural Network based translations for all its speech languages 15 November 2016<\/a>).<\/p>","protected":false},"excerpt":{"rendered":"<p>Christopher Manning has described neural machine translation (NMT) as \u201cthe approach of modeling the\u00a0entire\u00a0[machine translation] process via one big artificial neural network\u201d (Neural Machine Translation and Models with Attention 3 April 2017, emphasis in original). Google has replaced its earlier statistical methods with a NMT\u00a0system of its own, although not in all its language pairs [&#8230;]<\/p>\n","protected":false},"author":3,"featured_media":0,"menu_order":0,"template":"","meta":[],"glossary-categories":[83],"glossary-tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary\/5677"}],"collection":[{"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/types\/glossary"}],"author":[{"embeddable":true,"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":7,"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary\/5677\/revisions"}],"predecessor-version":[{"id":5797,"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary\/5677\/revisions\/5797"}],"wp:attachment":[{"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/media?parent=5677"}],"wp:term":[{"taxonomy":"glossary-categories","embeddable":true,"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary-categories?post=5677"},{"taxonomy":"glossary-tags","embeddable":true,"href":"https:\/\/actascenica.teak.fi\/huopaniemi-otso\/wp-json\/wp\/v2\/glossary-tags?post=5677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}