{"id":3316,"date":"2016-12-19T09:48:10","date_gmt":"2016-12-19T08:48:10","guid":{"rendered":"https:\/\/www-staging.systransoft.com\/?post_type=paper&#038;p=3316"},"modified":"2023-11-16T17:58:54","modified_gmt":"2023-11-16T16:58:54","slug":"domain-specialization-a-post-training-domain-adaptation-for-neural-machine-translation","status":"publish","type":"paper","link":"https:\/\/www-staging.systransoft.com\/es\/recursos\/papers-and-publications\/domain-specialization-a-post-training-domain-adaptation-for-neural-machine-translation\/","title":{"rendered":"Domain specialization: a post-training domain adaptation for Neural Machine Translation"},"content":{"rendered":"<p>Domain adaptation is a key feature in Machine Translation. It generally encompasses terminology, domain and style adaptation, especially for human post-editing workflows in Computer Assisted Translation (CAT). With Neural Machine Translation (NMT), we introduce a new notion of domain adaptation that we call &#8220;specialization&#8221; and which is showing promising results both in the learning speed and in adaptation accuracy. In this paper, we propose to explore this approach under several perspectives.<\/p>","protected":false},"excerpt":{"rendered":"<p>Domain adaptation is a key feature in Machine Translation. It generally encompasses terminology, domain and style adaptation, especially for human post-editing workflows in Computer Assisted Translation (CAT). With Neural Machine Translation (NMT), we introduce a new notion of domain adaptation that we call &#8220;specialization&#8221; and which is showing promising results both in the learning speed &hellip; <a href=\"https:\/\/www-staging.systransoft.com\/es\/recursos\/papers-and-publications\/domain-specialization-a-post-training-domain-adaptation-for-neural-machine-translation\/\">Continuaci\u00f3n<\/a><\/p>","protected":false},"featured_media":0,"template":"","class_list":["post-3316","paper","type-paper","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www-staging.systransoft.com\/es\/wp-json\/wp\/v2\/paper\/3316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www-staging.systransoft.com\/es\/wp-json\/wp\/v2\/paper"}],"about":[{"href":"https:\/\/www-staging.systransoft.com\/es\/wp-json\/wp\/v2\/types\/paper"}],"wp:attachment":[{"href":"https:\/\/www-staging.systransoft.com\/es\/wp-json\/wp\/v2\/media?parent=3316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}