{"id":3674,"date":"2009-03-22T11:24:58","date_gmt":"2009-03-22T10:24:58","guid":{"rendered":"https:\/\/www-staging.systransoft.com\/?post_type=paper&#038;p=3674"},"modified":"2023-11-16T17:55:29","modified_gmt":"2023-11-16T16:55:29","slug":"statistical-post-editing-and-dictionary-extraction-systran-edinburgh-submissions-for-acl-wmt2009-pdf","status":"publish","type":"paper","link":"https:\/\/www-staging.systransoft.com\/kr\/resources\/papers-and-publications\/statistical-post-editing-and-dictionary-extraction-systran-edinburgh-submissions-for-acl-wmt2009-pdf\/","title":{"rendered":"Statistical Post Editing and Dictionary Extraction: SYSTRAN\/Edinburgh submissions for ACL-WMT2009 [PDF]"},"content":{"rendered":"<p><strong>Abstract:<\/strong>\u00a0We describe here the two Systran\/University of Edinburgh submissions for WMT2009. They involve a statistical post-editing model with a particular handling of named entities (English to French and German to English) and the extraction of phrasal rules (English to French).<\/p>","protected":false},"excerpt":{"rendered":"<p>Abstract:\u00a0We describe here the two Systran\/University of Edinburgh submissions for WMT2009. They involve a statistical post-editing model with a particular handling of named entities (English to French and German to English) and the extraction of phrasal rules (English to French).<\/p>","protected":false},"featured_media":0,"template":"","class_list":["post-3674","paper","type-paper","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www-staging.systransoft.com\/kr\/wp-json\/wp\/v2\/paper\/3674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www-staging.systransoft.com\/kr\/wp-json\/wp\/v2\/paper"}],"about":[{"href":"https:\/\/www-staging.systransoft.com\/kr\/wp-json\/wp\/v2\/types\/paper"}],"wp:attachment":[{"href":"https:\/\/www-staging.systransoft.com\/kr\/wp-json\/wp\/v2\/media?parent=3674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}