... paper, we present a block -based modelfor statis-tical machine translation. A block is a pair of phraseswhich are translations of each other. For example, Fig. 1shows an Arabic-English translation ... Conference(HLT 04), pages 177–184, Boston, MA, May.Christoph Tillmann and Fei Xia. 2003. A Phrase -based Unigram ModelforStatisticalMachine Translation. InCompanian Vol. of the Joint HLT and NAACL Confer-ence ... generate a translation graph’ for every input sentence using a proce-dure similar to (Ueffing et al., 2002): atranslation graphis a compact way of representing candidate translationswhich are...
... 100080{liuqun, sxlin}@ict.ac.cnAbstractWe propose a novel reordering model for phrase -based statisticalmachine transla-tion (SMT) that uses a maximum entropy(MaxEnt) model to predicate reorderingsof ... 2006.c2006 Association for Computational LinguisticsMaximum Entropy Based Phrase Reordering Model forStatisticalMachine Translation Deyi XiongInstitute of Computing TechnologyChinese Academy ... and theMaxEnt -based reordering model with the associ-ated algorithm. We also present experiments thatindicate that the MaxEnt -based reordering model improves translation significantly compared...
... DP based search algorithm in de- tail. Finally, experimental results fora bilingual cor- pus are reported. 1.1 StatisticalMachineTranslation In statisticalmachine translation, the goal ... Technology D-52056 Aachen, Germany Emaih niessenâinformatik, rwth-aachen, de Abstract We introduce a novel search algorithm for statisti- cal machinetranslationbased on dynamic program- ming (DP). ... of Statisti- cal Machine Translation: Parameter Estimation. Computational Linguistics, 19(2):263-311. I. Dagan, K. W. Church, and W. A. Gale. 1993. Robust Bilingual Word Alignment for Machine...
... 2007.Bilingual LSA -based adaptation forstatistical machine translation. Machine Translation, pages 187-207.Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar.2008. Semi-supervised Model Adaptation for ... Statisti-cal Machine Translation. Machine Translation, pages77-94.Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do-main Adaptation forStatisticalMachine Translation with Domain Dictionary ... weblog.According to adaptation emphases, domain adap-tation in SMT can be classified into translation mod-el adaptation and language model adaptation. Herewe focus on how to adapt atranslation model, ...
... 271-279. A. Ramanathan, Pushpak Bhattacharyya, JayprasadHegde, Ritesh M. Shah and Sasikumar M. 2008.Simple syntactic and morphological processing canhelp English-Hindi StatisticalMachine Translation. In ... integrated into a phrase- based decoder serving as additional distortion fea-tures.We evaluated our approach on large-scaleJapanese-English and English-Japanese machine translation tasks, and ... ranking model is auto-matically derived from word aligned paralleldata with a syntactic parser for source lan-guage based on both lexical and syntacticalfeatures. We evaluated our approach...
... Lexicon Models forStatisticalMachineTranslation using a Maximum Entropy ApproachIsmael Garc´ a VareaDpto. de Inform´aticaUniv. de Castilla-La ManchaCampus Universitario s/n02071 Albacete, ... Stephan Vogel, Hermann Ney, andChristoph Tillmann. 1998. A DP -based searchalgorithm forstatisticalmachine translation. InCOLING-ACL ’98: 36th Annual Meeting of the As-sociation for Computational ... approach toadaptive statistical language modeling. Computer,Speech and Language, 10:187–228.Christoph Tillmann and Hermann Ney. 2000. Wordre-ordering and dp -based search in statistical ma-chine...
... Manual and automaticevaluation of machine translation. In HLT-NACCLWorkshop on StatisticalMachine Translation, pages102–121.P. Koehn, F. J. Och, and D. Marcu. 2003. Statistical phrase -based ... Khudanpur, A. Sarkar, K. Ya-mada, A. Fraser, S. Kumar, L. Shen, D. Smith, K. Eng,V. Jain, Z. Jin, and D. Radev. 2004. A smorgasbordof features forstatisticalmachine translation. In HLT-NAACL 2004: ... SMT. In ACL, pages 271–279, Ann Arbor,USA, June.C. Tillman. 2004. A unigram orientation modelfor sta-tistical machine translation. In HLT-NAACL, pages101–104. Short paper. A. Venugopal and S....
... exponential translationmodelfor targetlanguage morphology. In ACL-HLT.C. Tillmann. 2004. A unigram orientation modelfor statistical machine translation. In NAACL.K. Toutanova, H. Suzuki, and A. ... similar agreement phenom-ena as probabilistic sequences.Factored Translation ModelsFactored transla-tion models (Koehn and Hoang, 2007) facilitate a more data-oriented approach to agreement modeling.Words ... for statisticalmachinetranslation into German. In WMT.Y. Zhang. 2009. Structured Language Models forStatistical Ma-chine Translation. Ph.D. thesis, Carnegie Mellon University.155 Translation Model e...
... Language Model Biasing forStatisticalMachine Translation Sankaranarayanan Ananthakrishnan, Rohit Prasad and Prem NatarajanRaytheon BBN TechnologiesCambridge, MA 02138, U.S .A. {sanantha,rprasad,pnataraj}@bbn.comAbstractThe ... not available for E2D.LM training data in words: 2.4M (Dari), 3.4M (Pashto)4.1 Data ConfigurationParallel data were made available under the Transtacprogram for both language pairs evaluated ... trans-lation for each source sentence. For E2P, DARPAhas made available to all program participants anadditional evaluation set with multiple (four) refer-ences for each test input. The Dari...
... Sense Disambiguation Improves StatisticalMachine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase -based model for statisticalmachine translation. In: Proceedings ... similarities are hierar-chical rules. 2 Hierarchical phrase -based MT system The hierarchical phrase -based translation method (Chiang, 2005; Chiang, 2007) is a formal syntax- based translation ... helpful for at least one multilingual application: statistical machine translation. Finally, although we described and evaluated bilingual sense similarity algorithms applied to a hierarchical...