Syntactic Reordering Integrated with Phrase-Based SMT

@inproceedings{citeulike:2923062, abstract = {We present a novel approach to word re- ordering which successfully integrates syn- tactic structural knowledge with phrase-based SMT. This is done by constructing a lattice of alternatives based on automatically learned probabilistic syntactic rules. In decoding, the alternatives are scored based on the output word order, not the order of the input. Un- like previous approaches, this makes it possi- ble to successfully integrate syntactic reorder- ing with phrase-based SMT. On an English- Danish task, we achieve an absolute improve- ment in translation quality of 1.1 \% BLEU. Manual evaluation supports the claim that the present approach is significantly superior to previous approaches.}, address = {Columbus, Ohio}, author = {Elming, Jakob }, booktitle = {Proceedings of the ACL-08:\~{}HLT Second Workshop on Syntax and Structure in Statistical Translation (SSST-2)}, citeulike-article-id = {2923062}, keywords = {reodering, smt}, pages = {46--54}, posted-at = {2008-07-18 15:36:05}, priority = {2}, publisher = {Association for Computational Linguistics}, title = {Syntactic Reordering Integrated with Phrase-Based SMT}, url = {http://www.aclweb.org/anthology/W/W08/W08-0406}, year = {2008} }

TY - CONF ID - citeulike:2923062 L3 - citeulike-article-id:2923062 TI - Syntactic Reordering Integrated with Phrase-Based SMT T2 - Proceedings of the ACL-08:~HLT Second Workshop on Syntax and Structure in Statistical Translation (SSST-2) SP - 46 EP - 54 AD - Columbus, Ohio PB - Association for Computational Linguistics N2 - We present a novel approach to word re- ordering which successfully integrates syn- tactic structural knowledge with phrase-based SMT. This is done by constructing a lattice of alternatives based on automatically learned probabilistic syntactic rules. In decoding, the alternatives are scored based on the output word order, not the order of the input. Un- like previous approaches, this makes it possi- ble to successfully integrate syntactic reorder- ing with phrase-based SMT. On an English- Danish task, we achieve an absolute improve- ment in translation quality of 1.1 % BLEU. Manual evaluation supports the claim that the present approach is significantly superior to previous approaches. KW - reodering KW - smt AU - Elming, Jakob PY - 2008/// UR - http://www.aclweb.org/anthology/W/W08/W08-0406 ER -