... is used for training phrase-based translation models, which can be used directly in translation tasks or combined with base-line models. Experimental results on Chinese-English machinetranslation ... Open source toolkit for statisticalmachine translation. In Proceedings ofthe 45th Annual Meeting of the Association for Com-putational Linguistics Companion Volume Proceed-ings of the Demo and ... Association for Computational LinguisticsCorpus ExpansionforStatisticalMachineTranslation withSemantic Role Label Substitution RulesQin Gao and Stephan VogelLanguage Technologies Institute,...
... 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 ... be obtainedmore easily. In this paper, we propose anovel approach fortranslation model adapta-tion by utilizing in- domain monolingual top-ic information instead of the in- domain bilin-gual ... Shouxun Lin. 2006. Tree-to-String Alignment Template forStatistical Machine Translation. In Proc. of ACL 2006, pages 609-616.Yajuan Lv, Jin Huang and Qun Liu. 2007. Improv-ing Statistical Machine...
... reordering for phrase-based statistical machine translation. In Proceedings of the Sixth Work-shop on StatisticalMachine Translation, pages 227–236, Edinburgh, Scotland, July. Association for ... 2003. Minimum Error Rate Training in StatisticalMachine Translation. In Erhard Hinrichsand Dan Roth, editors, Proceedings of the 41st AnnualMeeting of the Association for Computational Linguis-tics, ... workPre-processing approaches to word reordering aimat permuting input words in a way that minimizesthe reordering needed for translation: determinis-tic reordering aims at finding a single optimal...
... Phrase-BasedModel forStatisticalMachine Translation. In Proc.ACL, pages 263-270.Michael Collins, Philipp Koehn and Ivona Kucerova.2005. Clause restructuring forstatistical machine translation. In Proc. ... Reordering forStatistical Ma-chine Translation. In Proc. ACL, pages 720-727.Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree-to-String Alignment Template forStatistical Machine Translation. In ... canhelp English-Hindi StatisticalMachine Translation. In Proc. IJCNLP.Roy Tromble. 2009. Search and Learning for the Lin-ear Ordering Problem with an Application to Machine Translation. Ph.D....
... 2010.Discriminative instance weighting for domain adapta-tion instatisticalmachine translation. In Proceedingsof the 2010 Conference on Empirical Methods in Nat-ural Language Processing, EMNLP ... and Alfons Juan. 2007. Domain adap-tation instatisticalmachinetranslation with mixturemodelling. In Proceedings of the Second Workshopon StatisticalMachine Translation, StatMT ’07, pages177–180, ... hypothesis testing for statisti-cal machine translation: controlling for optimizer in- stability. In Proceedings of the 49th Annual Meetingof the Association for Computational Linguistics: Hu-man...
... Disambiguation Improves StatisticalMachine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statisticalmachine translation. In: Proceedings of ACL, ... Toolkit for Parsing-based Machine Translation. In: Proceedings of the WMT. March. Athens, Greece. D. Lin. 1998. Automatic retrieval and clustering of similar words. In: Proceedings of COLING/ACL-98. ... Discriminative Phrase Selection for SMT. In: Goutte et al (ed.), Learning Machine Translation. MIT Press. K. Gimpel and N. A. Smith. 2008. Rich Source-Side Context forStatisticalMachine Translation. ...
... toolkit for parsing-based machine translation. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, pages135–139, Athens, Greece, March. Association for Computational Linguistics.Francois ... 2009. Activelearning for multilingual statisticalmachine trans-lation. In Proceedings of the Joint Conference ofthe 47th Annual Meeting of the ACL and the 4th In- ternational Joint Conference ... se-quential algorithm for training text classifiers. In SI-GIR ’94: Proceedings of the 17th annual interna-tional ACM SIGIR conference on Research and de-velopment in information retrieval, pages...
... El-Kahlout and Kemal Oflazer. 2006.Initial explorations in English to Turkish statistical machine translation. In Proceedings of the Work-shop on StatisticalMachine Translation, pages 7–14, New ... matching by identifyingredundant distinctions in the morphology of onelanguage compared to another.3 MethodMaximizing translation performance directlywould require SMT training and decoding for each ... editors, Learning Machine Transla-tion, chapter 5, pages 93–110. MIT Press.Nizar Habash and Fatiha Sadat. 2006. Arabic prepro-cessing schemes forstatisticalmachine translation. In Proc. of...
... Association for Computational LinguisticsName TranslationinStatisticalMachine Translation Learning When to TransliterateUlf Hermjakob and Kevin KnightUniversity of Southern CaliforniaInformation ... Jian. 2004. A JointSource-Channel Model forMachine Transliteration. In Proceedings of the 42nd Annual Meeting on Asso-ciation for ComputationalLinguistics.Wei-Hao Lin and Hsin-Hsi Chen. 2002. ... Lin-guistics.Kevin Knight and Jonathan Graehl. 1997. Machine Transliteration. In Proceedings of the 35th AnnualMeeting of the Associationfor ComputationalLinguis-tics.Li Haizhou, Zhang Min,...
... show that segmentingthe Arabic target in training and decoding improvesperformance. We propose various schemes for re-combining the segmented Arabic, and compare theireffect on translation. We ... Association for Computational LinguisticsSegmentation for English-to-Arabic StatisticalMachine Translation Ibrahim Badr Rabih ZbibComputer Science and Artificial Intelligence LabMassachusetts Institute ... 4-grams for segmented Arabic. The av-erage sentence length is 9 for English, 8 for Arabic,and 10 for segmented Arabic.2Since most of the data was originally intended for Arabic-to-English translation...
... 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 Machine Translation ... training and testing. In this paper, we shift our attention to exploringand contrasting additional preprocessing schemes for Arabic and describing and evaluating differ-ent methods for combining ... word-levelpreprocessing schemes for Arabic on thequality of phrase-based statistical machine translation. We also present and evalu-ate different methods for combining pre-processing schemes resulting in improvedtranslation...
... phrase-based, joint proba-bility model forstatisticalmachine translation. In Proceed-ings of EMNLP 2002.Melamed, I. D. (2004). Statisticalmachinetranslation by pars-ing. In Proceedings of ACL ... (2004). Statisticalmachine translation with scarce resources using morpho-syntactic information.Computational Linguistics, 30(2):181–204.Och, F. J. (2003). Minimum error rate training in statistical machine ... features for statisticalmachine translation. In Proceedings of HLT-NAACL 2004.Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align-ment models forstatisticalmachine translation. In Proceed-ings...
... change in perfor-mance between training on the original training data in Eq. 2 or on the modified training data in Eq. 10. Lineshows that even when training the float weights on anevent set obtained ... results in line- are obtained by training ’float’ weights only. Here,the training is carried out by running only once over% of the training data. The model including the binaryfeatures is trained ... entire training data. We obtainabout million features of the type defined in Eq. 3by setting the threshold . Forty iterations over thetraining data take about hours on a single Intel machine. Although...
... searchalgorithm forstatisticalmachine translation. In COLING-ACL ’98: 36th Annual Meeting of the As-sociation for Computational Linguistics and 17thInt. Conf. on Computational Linguistics, pages960–967, ... Themathematics of statisticalmachine translation: Pa-rameter estimation. Computational Linguistics,19(2):263–311.George Foster. 2000. Incorporating position informa-tion into a maximum entropy/minimum ... Decoding algo-rithm instatistical translation. In Proc. 35th AnnualConf. of the Association for Computational Linguis-tics, pages 366–372, Madrid, Spain, July.Table 1: Some training events for...