... Spainfcn@iti.upv.esAbstractTypically, the lexicon models used in statistical machinetranslation systemsdo not include any kind of linguisticor contextual information, which oftenleads to problems in performing a cor-rect ... 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 ... ofstatisticaltranslation models. http://www-i6.Informatik.RWTH-Aachen.DE/˜och/software/GIZA++.html.Franz J. Och and Hermann Ney. 2000b. Improved sta-tistical alignment models. In Proc. of...
... Discriminative Reordering ModelsforStatisticalMachine Transla-tion. In Proc. Workshop on StatisticalMachine Trans-lation, HLT-NAACL, pages 127-133.920Proceedings of the 50th Annual Meeting of the ... Syntax-based ReorderingforStatistical 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. ... 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 of Machine...
... 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 theEMNLP, Barcelona, Spain.Y. Lee. 2004. Morphological Analysis for Statistical Machine Translation. In Proc. of NAACL, Boston,MA.Y. Lee. 2005. IBM StatisticalMachineTranslation for Spoken ... LinguisticsCombination of Arabic Preprocessing Schemes for StatisticalMachine Translation Fatiha SadatInstitute for Information TechnologyNational Research Council of Canadafatiha.sadat@cnrc-nrc.gc.caNizar...
... Waibel. 2005. Adaptationof the translation model forstatisticalmachinetranslation based on in-formation retrieval. In Proceedings of the 10th EAMT2005, Budapest, Hungary, May.Geoffrey E. Hinton. ... 2004.Language model adaptationforstatistical machine translation based on information retrieval. In In Pro-ceedings of LREC.George Foster and Roland Kuhn. 2007. Mixture-model adaptation for smt. In ... Marcello Federico. 2009. Do-main adaptationforstatisticalmachinetranslation withmonolingual resources. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, StatMT’09, pages...
... Improves StatisticalMachine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statisticalmachine translation. In: Proceedings of ACL, pp. ... source and target sides of a translation rule to improve statisticalmachinetranslation perfor-mance. This work attempts to measure directly the sense similarity for units from different ... Context forStatisticalMachine Translation. In: Proceedings of WMT, Columbus, OH. Z. Harris. 1954. Distributional structure. Word, 10(23): 146-162. Z. He, Q. Liu, and S. Lin. 2008. Improving Statistical...
... source toolkit for parsing-based machine translation. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, pages135–139, Athens, Greece, March. Association for Computational ... unlabeled pool of foreign text, if available.Our motivations for soliciting translations for only parts of sentences are twofold, correspondingto two possible cases. Case one is that a translation model ... exception in the AL for NLP field wasthe work of Hwa (2000), which makes a point of using # of brackets to measure cost for a syntac-tic analysis task instead of using # of sentences.Another...
... Opensource toolkit forstatisticalmachine translation. InProceedings of the 45th Annual Meeting of the Asso-ciation for Computational Linguistics, CompanionVolume: Proceedings of the Demo and ... 2008. Optimizing Chinese word segmen-tation formachinetranslation performance. In Pro-ceedings of the Third Workshop on Statistical Ma-chine Translation, pages 224–232, Columbus, Ohio.David ... Ward, and Wei-Jing Zhu. 2002. BLEU: a method for automaticevaluation ofmachine translation. In Proceedings of 40th Annual Meeting of the Association for Com-putational Linguistics, pages 311–318,...
... source toolkit for statisticalmachine translation. In Proceedings of the 45th Annual Meeting of the Association for Com-putational Linguistics Companion Volume Proceed-ings of the Demo and ... coverage of the generated corpus.ReferencesChris Callison-Burch, Philipp Koehn, and Miles Os-borne. 2006. Improved statisticalmachine translation using paraphrases. In Proceedings of the main ... William Dolan. 2004.Monolingual machinetranslationfor paraphrase gen-eration. In Proceedings of EMNLP 2004, pages 142–149, Barcelona, Spain, July. Association for Computa-tional Linguistics.298...
... of features for statisticalmachine translation. In Proceedings of HLT-NAACL 2004.Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align-ment modelsforstatisticalmachine translation. ... mathematics ofstatisticalmachine translation. Computational Linguistics, 19(2):263–313.Charniak, E., Knight, K., and Yamada, K. (2003). Syntax-basedlanguage modelsforstatisticalmachine translation. ... statisticalmachine translation. In Proceed-ings of EMNLP 2002.Melamed, I. D. (2004). Statisticalmachinetranslation by pars-ing. In Proceedings of ACL 2004.Niessen, S. and Ney, H. (2004). Statistical...
... generalizations of support vector machines (SVM). However, Eq. 8 is moresuitable for non-separable problems (which is often thecase for SMT) since it directly models the conditionalprobability for the ... decode562Proceedings of the 43rd Annual Meeting of the ACL, pages 557–564,Ann Arbor, June 2005.c2005 Association for Computational LinguisticsA Localized Prediction Model forStatisticalMachine Translation Christoph ... 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....
... experimental results for a bilingual cor- pus are reported. 1.1 StatisticalMachineTranslation In statisticalmachine translation, the goal of the search strategy can be formulated as follows: ... effect of this measure depends on the qual- ity of the used models; in preliminary experi- ments we observed a speed-up factor of about 3.5. 963 A DP based Search Algorithm forStatisticalMachine ... statistics of the translation performance. When different judgements existed for one sentence, the majority vote was accepted. For the calculation of the subjective sentence error rate (SSER), translations...
... Association for Computational LinguisticsBilingually Motivated Domain-Adapted Word Segmentation for StatisticalMachine Translation Yanjun Ma Andy WayNational Centre for Language TechnologySchool of ... the performance of our approach via the Chinese–English transla-tion task, i.e. we measure the influence of thesegmentation process on the final translation out-put. The quality of the translation ... Both ICTCLAS and Stanford segmentersutilise machine learning techniques, with HiddenMarkov Modelsfor ICT (Zhang et al., 2003) andconditional random fields for the Stanford seg-menter (Tseng...
... complicated reorderingmodels in HM decoding. References David Chiang. 2005. A Hierarchical Phrase-based Model forStatisticalMachine Translation. In Pro-ceedings of the Association for Computational ... Roukos, Todd Ward, and Weijing Zhu. 2002. BLEU: a method for automatic evaluation ofmachine translation. In Proceedings of the Association for Computational Linguistics, pages 311-318. Libin ... Parsing of Parallel Corpora. Computational Linguistics, 23(3): 377-404. Deyi Xiong, Qun Liu, and Shouxun Lin. 2006. Maxi-mum Entropy based Phrase Reordering Model for Statistical Machine Translation. ...