... Suntec,Singapore, August. Association for ComputationalLinguistics.Gholamreza Haffari, Maxim Roy, and Anoop Sarkar.2009. Activelearningforstatistical phrase- based machine translation. In Proceedings ... source toolkit for parsing -based machine translation. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, pages135–139, Athens, Greece, March. Association for Computational ... our “before”system already got the translation correct withoutthe need for the additional phrase translation. Thisis because though the “before” system had neverseen the Urdu expression for...
... June 19-24, 2011.c2011 Association for Computational Linguistics Learning to Transform and Select Elementary Trees for ImprovedSyntax -based Machine TranslationsBing Zhao†, and Young-Suk ... paper for transforming the original elementary treeinto similar trees for evaluating the reordering probabili-ties.Eqn. 3 significantly enriches reordering powers for syntax -based machine translation. ... 2009),combinations of tree forest and tree-sequence (Zhang etal., 2008) based approaches were carried out by addingpseudo nodes and hyper edges into the forest. Overall,the forest -based translation can...
... toolkit for phrase- based and syntax -based machine translation. The toolkit supports several state-of-the-art models developed in statistical machine translation, including the phrase- based ... algorithm for statistical machine translation. In Proc. of ACL1996, pages 152–158. Deyi Xiong, Qun Liu and Shouxun Lin. 2006. Maximum Entropy BasedPhrase Reordering Model for StatisticalMachine ... open-source toolkit for phrase- based and syntax -based machine translation. It is implemented in C++ and runs fast. Moreover, it supports several state-of-the-art models ranging from phrase- based models...
... Association for Computational Linguistics Statistical phrase- based models for interactive computer-assisted translation Jes´us Tom´as and Francisco CasacubertaInstituto Tecnol´ogico de Inform´aticaUniversidad ... Decoding in interactive machine translation The search algorithm is a crucial part of a CATsystem. Its performance directly affects the qual-ity and efficiency of translation. For CAT searchwe ... high-quality trans-lations. A statistical phrase- based ap-proach to computer-assisted translation isdescribed in this article. A new decoder al-gorithm for interactive search is also pre-sented,...
... 2000. Anevaluation tool formachine translation: Fast evalua-tion for MT research. In Proc. LREC.F.J. Och. 2003. Minimum error rate training in statistical machine translation. In Proc. ACL.K. ... improve-ment in translation quality on both tasks.1 IntroductionIn statisticalmachinetranslation (SMT), translation is modeled as a decision process. The goal is to findthe translation t of ... M. Osborne.2004. Statisticalmachinetranslation with word- andsentence-aligned parallel corpora. In Proc. ACL.C. Callison-Burch. 2002. Co-training forstatistical ma-chine translation. Master’s...
... Themathematics of statisticalmachine translation: pa-rameter estimation. Comput. Linguist., 19(2):263–311.David Chiang. 2005. A hierarchical phrase- based model forstatisticalmachine translation. ... Och, and Daniel Marcu.2003. Statistical phrase- based translation. InNAACL ’03: Proceedings of the 2003 Conferenceof the North American Chapter of the Association for Computational Linguistics ... FBIS. Here HPB refers to the base-line hierarchal phrase- based system, RWF meansrelaxed-well-formed constraint and WF representsthe well-formed structure.System Dev02 Test04 Test05HPB 0.3285...
... 2010. Stream -based Translation Models forStatistical Machine Translation. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational ... ways: on the translation webpage of LetsMT! for testing and short translations; using LetsMT! plug-ins in computer-assisted translation (CAT) tools for professional translation; integrating ... Association for Computational Linguistics, pages 43–48,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsLetsMT!: A Cloud -Based Platform for Do-It-Yourself Machine...
... toolkit forstatisticalmachine translation. InProceedings of the ACL-2007 Demo and Poster Ses-sions.Zhifei Li and Sanjeev Khudanpur. 2008. A scalabledecoder for parsing -based machinetranslation ... Variational decoding forstatistical machine translation. In Proceedings of ACL.Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree-to-string alignment templates forstatistical machine translation. In ... source toolkit for parsing- based machine translation. In Proceedings of theFourth Workshop on StatisticalMachine Transla-tion, pages 135–139, Athens, Greece, March. As-sociation for Computational...
... gloss -based translation. Itis possible for the decoder to produce a perfect translation using phrases from the TMEM, andyet, to discard the perfect translation in favor ofan incorrect translation ... oneobtained using the TMEM seed. The translation obtained from the TMEM seed is also correct for the third sentence. But unfortunately, in this case,the TMEM -based translation is not the most prob-able.Acknowledgments. ... Strategies For Going Multilin-gual In A Global Age. John Benjamins Publishers.Tony Veale and Andy Way. 1997. Gaijin: Atemplate -based bootstrapping approach to example- based machine translation. ...
... directions.2 Active Learning 2.1 Pool -based Active Learning Our base framework of activelearning is based onthe algorithm of (Lewis and Gale, 1994), which iscalled pool -based active learning. ... of improving activelearningfor parsingby using a smaller constituent than a sentence asa unit that is selected at each iteration of active learning. Typically in activelearningfor parsing ... Roukos. 2002. Active learningforstatistical natural language pars-ing. In Proc. of ACL-2002, pages 120–127.364Simon Tong and Daphne Koller. 2000. Support vec-tor machineactivelearning with...