active learning for statistical phrase based machine translation

... Suntec, Singapore, August. Association for Computational Linguistics. Gholamreza Haffari, Maxim Roy, and Anoop Sarkar. 2009. Active learning for statistical phrase- based machine translation. In Proceedings ... source toolkit for parsing -based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation, pages 135–139, Athens, Greece, March. Association for Computational ... our “before” system already got the translation correct without the need for the additional phrase translation. This is because though the “before” system had never seen the Urdu expression for...

Ngày tải lên: 20/02/2014, 04:20

... June 19-24, 2011. c 2011 Association for Computational Linguistics Learning to Transform and Select Elementary Trees for Improved Syntax -based Machine Translations Bing Zhao † , and Young-Suk ... paper for transforming the original elementary tree into 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 et al., 2008) based approaches were carried out by adding pseudo nodes and hyper edges into the forest. Overall, the forest -based translation can...

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... 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 Based Phrase Reordering Model for Statistical Machine ... 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...

Ngày tải lên: 19/02/2014, 20:20

... Association for Computational Linguistics Statistical phrase- based models for interactive computer-assisted translation Jes ´ us Tom ´ as and Francisco Casacuberta Instituto Tecnol ´ ogico de Inform ´ atica Universidad ... Decoding in interactive machine translation The search algorithm is a crucial part of a CAT system. Its performance directly affects the qual- ity and efficiency of translation. For CAT search we ... high-quality trans- lations. A statistical phrase- based ap- proach to computer-assisted translation is described in this article. A new decoder al- gorithm for interactive search is also pre- sented,...

Ngày tải lên: 20/02/2014, 12:20

... 2000. An evaluation tool for machine 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 Introduction In statistical machine translation (SMT), translation is modeled as a decision process. The goal is to find the translation t of ... M. Osborne. 2004. Statistical machine translation with word- and sentence-aligned parallel corpora. In Proc. ACL. C. Callison-Burch. 2002. Co-training for statistical ma- chine translation. Master’s...

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... The mathematics of statistical machine translation: pa- rameter estimation. Comput. Linguist., 19(2):263– 311. David Chiang. 2005. A hierarchical phrase- based model for statistical machine translation. ... Och, and Daniel Marcu. 2003. Statistical phrase- based translation. In NAACL ’03: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics ... FBIS. Here HPB refers to the base- line hierarchal phrase- based system, RWF means relaxed-well-formed constraint and WF represents the well-formed structure. System Dev02 Test04 Test05 HPB 0.3285...

Ngày tải lên: 20/02/2014, 04:20

... 2010. Stream -based Translation Models for Statistical 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. c 2012 Association for Computational Linguistics LetsMT!: A Cloud -Based Platform for Do-It-Yourself Machine...

Ngày tải lên: 07/03/2014, 18:20

... toolkit for statistical machine translation. In Proceedings of the ACL-2007 Demo and Poster Ses- sions. Zhifei Li and Sanjeev Khudanpur. 2008. A scalable decoder for parsing -based machine translation ... Variational decoding for statistical machine translation. In Proceedings of ACL. Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree- to-string alignment templates for statistical machine translation. In ... source toolkit for parsing- based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Transla- tion, pages 135–139, Athens, Greece, March. As- sociation for Computational...

Ngày tải lên: 17/03/2014, 02:20

... gloss -based translation. It is possible for the decoder to produce a perfect translation using phrases from the TMEM, and yet, to discard the perfect translation in favor of an incorrect translation ... one obtained 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: A template -based bootstrapping approach to example- based machine translation. ...

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... directions. 2 Active Learning 2.1 Pool -based Active Learning Our base framework of active learning is based on the algorithm of (Lewis and Gale, 1994), which is called pool -based active learning. ... of improving active learning for parsing by using a smaller constituent than a sentence as a unit that is selected at each iteration of active learning. Typically in active learning for parsing ... Roukos. 2002. Active learning for statistical natural language pars- ing. In Proc. of ACL-2002, pages 120–127. 364 Simon Tong and Daphne Koller. 2000. Support vec- tor machine active learning with...

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