... Lexicon ModelsforStatisticalMachineTranslation using a Maximum Entropy ApproachIsmael Garc´ a VareaDpto. de Inform´aticaUniv. de Castilla-La ManchaCampus Universitario s/n02071 Albacete, ... entropy approach is outlined inSection 3.2 StatisticalMachine Translation The goal of the translation process in statisti-cal machinetranslation can be formulated as fol-lows: A source language ... 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...
... the task of text classification in a Bayesianlearning framework. This approach assumes that thetext data was generated by a parametric model, anduses training data to calculate Bayes-optimal ... |s=1|D|i=1NisP(cj|di).(6)The class prior parameters are calculated as beforeaccordingtoEquation4.ClassificationGiven estimates of these parameters calculated from thetraining documents, classification can be performed ... Machine Learning, 1997.Pat Langley, Wayne Iba, and Kevin Thompson. An anal-ysis of Bayesian classifiers. In AAAI-92, 1992.Leah S. Larkey and W. Bruce Croft. Combining classifiersin text categorization....
... withdrawal of the Treaty (start) North Korea as of today. ”Out2 The diplomat said that the ” withdrawal of (North Korea of the treaty) will start as of today ”.Input (Ar) snrfE *lk AmAm Almjls Aldstwry”.Ref. ... Kather-ine Eng, Viren Jain, Zhen Jin, and Dragomir Radev.2004. A Smorgasbord of Features for Statistical Machine Translation. In Daniel Marcu Susan Du-mais and Salim Roukos, editors, HLT-NAACL ... 2002. BLEU: a Method for AutomaticEvaluation ofmachine translation. In 40th AnnualMeeting of the Association for Computational Lin-guistics (ACL 02), pages 311–318, Philadelphia, PA,July.Christoph...
... and target lan-guages.Another class of approaches make use of syn-tactic information in the target language alone,treating the translation problem as a parsing prob-lem. Yamada and Knight ... treating translation as a pro-cess of parallel parsing of the source and tar-get language via a synchronized grammar. Al-shawi et al. (2000) represent each production inparallel dependency tree as ... trans-lation models (Brown et al., 1993)1by model-ing translations of phrases rather than individualwords, have been suggested to be the state -of- the-art in statisticalmachine translation...
... statisticalmachine translation. Natural Language Engineering. To appear.Daniel Marcu and William Wong. 2002. A phrase-based, joint probability model forstatistical machine translation. In ... Linguistics A Hierarchical Phrase-Based Model forStatisticalMachine Translation David ChiangInstitute for Advanced Computer Studies (UMIACS)University of Maryland, College Park, MD 20742, USAdchiang@umiacs.umd.eduAbstractWe ... Stochastic inversion transductiongrammars and bilingual parsing of parallel corpora.Computational Linguistics, 23:377–404.Kenji Yamada and Kevin Knight. 2001. A syntax-based statistical translation...
... Chiang. 2005. A hierarchical phrase-based model for statisticalmachine translation. In Proc. of the 43rdAnnual Meeting of the ACL (ACL-2005), pages 263–270, Ann Arbor, Michigan, June.David ... phrase-based translation. In Proc. of the 3rd International Conference on Human LanguageTechnology Research and 4th Annual Meeting of theNAACL (HLT-NAACL 2003), pages 81–88, Edmonton,Canada, May.Philip ... Taiwan, August.Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proc. of the 41st An-nual Meeting of the ACL (ACL-2003), pages 160–167,Sapporo, Japan.Slav...
... 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. ... Tree-to-String Alignment Template forStatisticalMachine Translation. ACL-06, 609-616 Yang Liu, Yun Huang, Qun Liu and Shouxun Lin. 2007. Forest-to-String StatisticalTranslation Rules. ACL-07. ... 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 forstatisticalmachine translation. ...
... 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 ... restructuring forstatistical machine translation. In Proc. ACL.R E. Fan, K W. Chang, C J. Hsieh, X R. Wang, andC J. Lin. 2008. LIBLINEAR: A library for large lin-ear classification. In Journal ofMachine ... Machine Translation: From Single Word Models to Alignment Template.Ph.D.Thesis, RWTH Aachen, GermanyFranz J. Och and Hermann Ney. 2003. A Systematic Comparison of Various StatisticalAlignment Models. Computational...
... LinguisticsCombination of Arabic Preprocessing Schemes for StatisticalMachine Translation Fatiha SadatInstitute for Information TechnologyNational Research Council of Canadafatiha.sadat@cnrc-nrc.gc.caNizar HabashCenter ... for Phrase-based StatisticalMachineTranslation Mod-els. In Proc. of the Association forMachine Trans-lation in the Americas (AMTA).P. Koehn. 2004b. Statistical Significance Tests for MachineTranslation ... Proc. of Associa-tion for Computational Linguistics (ACL), Ann Ar-bor, Michigan.N. Habash and F. Sadat. 2006. Arabic Preprocess-ing Schemes forStatisticalMachine Translation. InProc. of NAACL,...
... 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 example that usesblocks. ... AutomaticEvaluation ofmachine translation. In Proc. of the40th Annual Conf. of the Association for Computa-tional Linguistics (ACL 02), pages 311–318, Philadel-phia, PA, July.Charles Schafer and David Yarowsky. ... Boston, MA, May.Christoph Tillmann and Fei Xia. 2003. A Phrase-basedUnigram Model forStatisticalMachine Translation. InCompanian Vol. of the Joint HLT and NAACL Confer-ence (HLT 03), pages...
... LearningResearch, 9:1871–1874, June.Jan Hajiˇc, Massimiliano Ciaramita, Richard Johansson,Daisuke Kawahara, Maria Ant`onia Mart´ı, Llu´ıs M`arquez,Adam Meyers, Joakim Nivre, Sebastian Pad´o, ... dependency parsers).3 ResultsTable 3 tabulates efficiency and performance for allparsers; UAS and LAS are unlabeled and labeled at-tachment scores, respectively — the standard crite-ria for evaluating ... reviewers, for valuable comments.Supported in part by the National Natural Science Founda-tion of China (NSFC) via grant 61133012, the National “863”Major Project grant 2011AA0 1A2 07, and the National...