{"id":168190,"date":"2010-08-01T00:00:00","date_gmt":"2010-08-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/hybrid-decoding-decoding-with-partial-hypotheses-combination-over-multiple-smt-systems\/"},"modified":"2020-12-27T19:20:08","modified_gmt":"2020-12-28T03:20:08","slug":"hybrid-decoding-decoding-with-partial-hypotheses-combination-over-multiple-smt-systems","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hybrid-decoding-decoding-with-partial-hypotheses-combination-over-multiple-smt-systems\/","title":{"rendered":"Hybrid Decoding: Decoding with Partial Hypotheses Combination over Multiple SMT Systems"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this paper, we present hybrid decoding<br \/>\n\u2014 a novel statistical machine translation<br \/>\n(SMT) decoding paradigm using multiple<br \/>\nSMT systems. In our work, in addition<br \/>\nto component SMT systems, system<br \/>\ncombination method is also employed<br \/>\nin generating partial translation hypotheses<br \/>\nthroughout the decoding process, in<br \/>\nwhich smaller hypotheses generated by<br \/>\neach component decoder and hypotheses<br \/>\ncombination are used in the following decoding<br \/>\nsteps to generate larger hypotheses.<br \/>\nExperimental results on NIST evaluation<br \/>\ndata sets for Chinese-to-English machine<br \/>\ntranslation (MT) task show that our<br \/>\nmethod can not only achieve significant<br \/>\nimprovements over individual decoders,<br \/>\nbut also bring substantial gains compared<br \/>\nwith a state-of-the-art word-level system<br \/>\ncombination method.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we present hybrid decoding \u2014 a novel statistical machine translation (SMT) decoding paradigm using multiple SMT systems. In our work, in addition to component SMT systems, system combination method is also employed in generating partial translation hypotheses throughout the decoding process, in which smaller hypotheses generated by each component decoder and hypotheses [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"COLING 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