... paper, we present a block-based model for statis-tical machine translation. A block is a pair of phraseswhich are translations of each other. For example, Fig. 1shows an Arabic-English translation ... Boston, MA, May.Christoph Tillmann and Fei Xia. 2003. A Phrase-basedUnigram Model for StatisticalMachine Translation. InCompanian Vol. of the Joint HLT and NAACL Confer-ence (HLT 03), pages ... 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...
... Lexicon Models for StatisticalMachineTranslation using a Maximum Entropy ApproachIsmael Garc´ a VareaDpto. de Inform´aticaUniv. de Castilla-La ManchaCampus Universitario s/n02071 Albacete, ... Computational Linguistics and 17thInt. Conf. on Computational Linguistics, pages960–967, Montreal, Canada, August.Franz J. Och and Hermann Ney. 200 0a. Giza++:Training of statisticaltranslation models.http://www-i6.Informatik.RWTH-Aachen.DE/˜och/software/GIZA++.html.Franz ... lexicon models for statistical machinetranslation by using maximumentropy models. We have been able to obtain a significant better test corpus perplexity and also a slight improvement in translation...
... SPMT: statisticalmachinetranslation with syn-tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statisticalmachine translation. ... 704-711. Daniel Marcu and William Wong. 2002. A phrase-based, joint probability model for statisticalmachine translation. EMNLP-02, 133-139 Daniel Marcu, W. Wang, A. Echihabi and K. Knight. ... statistical translation model. ACL-01. 523-530 Min Zhang, Hongfei Jiang, AiTi Aw, Jun Sun, Sheng Li and Chew Lim Tan. 2007. A tree-to-tree alignment-based model for statisticalmachine 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 ... International Workshop onSpoken Language Translation, pages 103-110.Arne Mauser, Saˇsa Hasan and Hermann Ney 2009. Ex-tending StatisticalMachineTranslation with Discrimi-native and Trigger-Based ... LanguageModeling Toolkit. In Proc. of ICSLP 2002, pages 901-904.Yik-Cheung Tam, Ian R. Lane and Tanja Schultz. 2007.Bilingual LSA-based adaptation for statistical machine translation. Machine...
... 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...
... Buildingand Using Parallel Texts, Ann Arbor. ACL.Baskaran Sankaran, Majid Razmara, and Anoop Sarkar.2012. Kriya an end-to-end hierarchical phrase-basedmt system. The Prague Bulletin of Mathematical ... USA.ACL.Almut Silja Hildebrand, Matthias Eck, Stephan Vogel,and Alex Waibel. 2005. Adaptation of the translation model for statisticalmachinetranslation based on in-formation retrieval. In ... PA, USA. ACL.Fatiha Sadat, Howard Johnson, Akakpo Agbago, GeorgeFoster, Joel Martin, and Aaron Tikuisis. 2005.Portage: A phrase-based machinetranslation system.In In Proceedings of the ACL...
... sentence are asfollows:ID source targeth cette thist traduction translation ht cette traduction this translation mt traduction automatique machinetranslation a automatique automaticm automatique ... 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 333–341,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPPhrase-Based StatisticalMachineTranslation as a Traveling ... Franz Josef Och, and Daniel Marcu.2003. Statistical phrase-based translation. InNAACL 2003, pages 48–54, Morristown, NJ, USA.Association for Computational Linguistics.Adam Lopez. 2008. Statistical...
... Philadelphia, Pennsylva-nia, USA, July.Matt Post and Daniel Gildea. 2008. Parsers as languagemodels for statisticalmachine translation. In Proceed-ings of AMTA.Sylvain Raybaud, Caroline Lavecchia, ... prediction ability, we present two ex-tensions to standard n-gram language mod-els in statisticalmachine translation: a back-ward language model that augments the con-ventional forward language model, ... statistical machine translation: Parameter estimation. Computa-tional Linguistics, 19(2):263–311.Eugene Charniak, Kevin Knight, and Kenji Yamada.2003. Syntax-based language models for statistical machine...
... 100080{liuqun, sxlin}@ict.ac.cnAbstractWe propose a novel reordering model forphrase-based statisticalmachine transla-tion (SMT) that uses a maximum entropy(MaxEnt) model to predicate reorderingsof ... 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 ... (phrase pairs). The model provides content-dependent, hier-archical phrasal reordering with general-ization based on features automaticallylearned from a real-world bitext. Wepresent an algorithm...
... model for statisticalmachine translation. InDaniel Marcu Susan Dumais and Salim Roukos, ed-itors, HLT-NAACL 2004: Short Papers, pages 101–104, Boston, Massachusetts, USA, May 2 - May 7.Association ... numberN66001-99-2-8916.ReferencesYaser Al-Onaizan, Jan Curin, Michael Jahr, KevinKnight, John Lafferty, Dan Melamed, Franz-Josef Och, David Purdy, Noah Smith, and DavidYarowsky. 1999. StatisticalMachine Translation: Final ... 2006.c2006 Association for Computational LinguisticsDistortion Models For StatisticalMachine Translation Yaser Al-Onaizan and Kishore PapineniIBM T.J. Watson Research Center1101 Kitchawan RoadYorktown...
... the ACL Interactive Poster and Demonstration Sessions,pages 97–100, Ann Arbor, June 2005.c2005 Association for Computational LinguisticsInteractively Exploring aMachineTranslation Model Steve ... sentence. Themethod allows a user to explore a model of syntax-based statisticalmachine trans-lation (MT), to understand the model sstrengths and weaknesses, and to compareit to other MT systems. ... IntroductionThere are many new approaches to statistical ma-chine translation, and more ideas are being sug-gested all the time. However, it is difficult to deter-mine how well amodel will actually perform....
... 2010.Discriminative instance weighting for domain adapta-tion in satistical machine translation. In Proceedingsof EMNLP.Abraham Ittycheriah and Salim Roukos. 2005. A maxi-mum entropy word aligner for arabic-english ... 57–64, April.Philipp Koehn, Franz Och, and Daniel Marcu. 2003. Statistical phrase-based translation. In Proceedings ofNAACL/HLT.Percy Liang, Alexandre Bouchard-Cˆot´e, Dan Klein, andBen Taskar. ... Feature-Tied Mixture Modeling for Statistical Machine Translation Bing Xiang and Abraham IttycheriahIBM T. J. Watson Research CenterYorktown Heights, NY 10598{bxiang,abei}@us.ibm.comAbstractIn...
... Language Model Biasing for StatisticalMachine 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 ... biasing as we move from low-resource languages to those for which significantlylarger parallel corpora and LM training data areavailable.448ReferencesYaser Al-Onaizan, Jan Curin, Michael...
... 1(4):485–509.David Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proceedings of the 43rdAnnual Meeting of the Association for Computational Lin-guistics (ACL’05), ... translation (SMT). Standard n-gram language models assign probabilities to trans-lation hypotheses in the target language, typically assmoothed trigram models, e.g. (Chiang, 2005). Al-though ... Empirical Meth-ods in Natural Language Processing (EMNLP/Co-NLL).P. Koehn. 2003. Europarl: A multilingual corpus for eval-uation of machinetranslation philipp koehn, draft. Availableat:http://people.csail.mit.edu/...