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discriminative feature tied mixture modeling for statistical machine translation

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Báo cáo khoa học: "Hypothesis Mixture Decoding for Statistical Machine Translation" ppt

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... PB/DHPB forests for ; 4 n-gram post-erior features and 1 length posterior feature com-puted from the mixture search space of HM de-coder for ; 1 LM feature; 1 word count feature; ... end for 12: end for 13: for each hypothesis  do 14: compute HM decoding features for  15: add  to  16: end for 17: for ... end for 11: end for 12: for each hypothesis  do 13: compute HM decoding features for  14: add  to  15: end for 16: for...
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Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc

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... Model Adaptation for Statisti-cal Machine Translation. Machine Translation, pages77-94.Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do-main Adaptation for Statistical Machine Translation with ... Language Modeling 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 Translation, ... sourcetoolkit for statistical machine translation. In Proc. ofACL 2007, Demonstration Session, pages 177-180.Yang Liu, Qun Liu and Shouxun Lin. 2006. Tree-to-String Alignment Template for Statistical Machine Translation. ...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc

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... Phrase-BasedModel for Statistical Machine Translation. In Proc.ACL, pages 263-270.Michael Collins, Philipp Koehn and Ivona Kucerova.2005. Clause restructuring for statistical machine translation. ... Reordering for Statistical Ma-chine Translation. In Proc. ACL, pages 720-727.Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree-to-String Alignment Template for Statistical Machine Translation. ... Derived Rules for Improved Statistical Machine Translation. In Proc. Coling, pages 1119-1127.Chao Wang, Michael Collins, Philipp Koehn. 2007. Chi-nese syntactic reordering for statistical machine...
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Tài liệu Báo cáo khoa học: "Bilingual Sense Similarity for Statistical Machine Translation" ppt

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... Disambiguation Improves Statistical Machine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In: Proceedings ... 2009. 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 for Statistical Machine ... Knight. 2009. 11,001 new features for statistical machine translation. In: Proc. NAACL HLT, pp. 218–226. K. W. Church and P. Hanks. 1990. Word association norms, mutual information, and lexicography....
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx

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... source toolkit for parsing-based machine translation. In Proceedings of the FourthWorkshop on Statistical Machine Translation, pages135–139, Athens, Greece, March. Association for Computational ... our “before”system already got the translation correct withoutthe need for the additional phrase translation. Thisis because though the “before” system had neverseen the Urdu expression for ... HNG, for short.HNG solicits translations only for trigger n-gramsand not for entire sentences. We provide senten-tial context, highlight the trigger n-gram that wewant translated, and ask for...
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Tài liệu Báo cáo khoa học: "Unsupervised Search for The Optimal Segmentation for Statistical Machine Translation" doc

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... 2008. Optimizing Chinese word segmen-tation for machine translation performance. In Pro-ceedings of the Third Workshop on Statistical Ma-chine Translation, pages 224–232, Columbus, Ohio.David ... Oflazer. 2006.Initial explorations in English to Turkish statistical machine translation. In Proceedings of the Work-shop on Statistical Machine Translation, pages 7–14, New York City, New York, ... 31–36,Uppsala, Sweden, 13 July 2010.c2010 Association for Computational LinguisticsUnsupervised Search for The Optimal Segmentation for Statistical Machine Translation Cos¸kun Mermer1,3and Ahmet Afs¸ın...
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Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc

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... Association for Computational Linguistics.Philipp Koehn et al. 2007. Moses: Open source toolkit for statistical machine translation. In Proceedings ofthe 45th Annual Meeting of the Association for ... Association for Computational Linguistics:shortpapers, pages 294–298,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsCorpus Expansion for Statistical Machine Translation ... William Dolan. 2004.Monolingual machine translation for paraphrase gen-eration. In Proceedings of EMNLP 2004, pages 142–149, Barcelona, Spain, July. Association for Computa-tional Linguistics.298...
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Tài liệu Báo cáo khoa học: "Combination of Arabic Preprocessing Schemes for Statistical Machine Translation" ppt

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... for Phrase-based Statistical Machine Translation Mod-els. In Proc. of the Association for Machine Trans-lation in the Americas (AMTA).P. Koehn. 2004b. Statistical Significance Tests for Machine Translation ... Spain.Y. Lee. 2004. Morphological Analysis for Statistical Machine Translation. In Proc. of NAACL, Boston,MA.Y. Lee. 2005. IBM Statistical Machine Translation for Spoken Languages. In Proc. of International ... 2006.c2006 Association for Computational LinguisticsCombination of Arabic Preprocessing Schemes for Statistical Machine Translation Fatiha SadatInstitute for Information TechnologyNational...
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Tài liệu Báo cáo khoa học: "Clause Restructuring for Statistical Machine Translation" ppt

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... smorgasbord of features for statistical machine translation. In Proceedings of HLT-NAACL 2004.Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align-ment models for statistical machine translation. ... mathematics of statistical machine translation. Computational Linguistics, 19(2):263–313.Charniak, E., Knight, K., and Yamada, K. (2003). Syntax-basedlanguage models for statistical machine translation. ... P. (2004). Statistical significance tests for machine translation evaluation. In Lin, D. and Wu, D., editors, Pro-ceedings of EMNLP 2004.Koehn, P. and Knight, K. (2003). Feature- rich statistical...
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Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

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... the feature vector of the -th instance, corresponding to la-bel . The symbol is short-hand for the feature- vector . This formulation is slightly differ-ent from the standard maximum entropy formulation ... @us.ibm.comAbstractIn this paper, we present a novel trainingmethod for a localized phrase-based predic-tion model for statistical machine translation (SMT). The model predicts blocks with orien-tation ... 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....
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Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

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... entropy approach is outlined inSection 3.2 Statistical Machine Translation The goal of the translation process in statisti-cal machine translation can be formulated as fol-lows: A source language ... Preliminary translation results for theVerbmobil Test-147 for different contextual infor-mation and different thresholds using the top-10translations. The baseline translation results for model ... problem withinthe statistical framework is to use max-imum entropy methods. In this paper,we present how to use this type of in-formation within a statistical machine translation system....
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Tài liệu Báo cáo khoa học: "ADP based Search Algorithm for Statistical Machine Translation" docx

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... experimental results for a bilingual cor- pus are reported. 1.1 Statistical Machine Translation In statistical machine translation, the goal of the search strategy can be formulated as follows: ... about 3.5. 963 A DP based Search Algorithm for Statistical Machine Translation S. Nieflen, S. Vogel, H. Ney, and C. Tillmann Lehrstuhl fiir Informatik VI RWTH Aachen - University of Technology ... easy-to-use measure of the translation performance, the Levenshtein distance between the produced translations and the sample translations was calculated. The translation results are summarized...
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Tài liệu Báo cáo khoa học: "Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation" pptx

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... 2009.c2009 Association for Computational LinguisticsBilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation Yanjun Ma Andy WayNational Centre for Language TechnologySchool ... observe that the ICT and Stanford segmenterconsistently outperform the LDC segmenter. Evenusing 3M sentence pairs for training, the differ-ences between them are still statistically signifi-cant ... LDC seg-menter2and Stanford segmenter version 2006-05-113. Both ICTCLAS and Stanford segmentersutilise machine learning techniques, with HiddenMarkov Models for ICT (Zhang et al., 2003)...
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Báo cáo khoa học: "Cohesive Phrase-based Decoding for Statistical Machine Translation" pot

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... smorgasbordof features for statistical machine translation. In HLT-NAACL 2004: Main Proceedings, pages 161–168.F. J. Och. 2003. Minimum error rate training for statisti-cal machine translation. ... classifi-cation error training for statistical machine translation. In EAMT.C. Wang, M. Collins, and P. Koehn. 2007. Chinese syn-tactic reordering for statistical machine translation. InEMNLP, pages ... Kucerova. 2005. Clause re-structuring for statistical machine translation. In ACL,pages 531–540.J. Eisner. 2003. Learning non-ismorphic tree mappings for machine translation. In ACL, Sapporo, Japan.Short...
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Báo cáo khoa học: "Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation" docx

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... of features, lexi-cal features and collocation features. For a blockb = (s, t), we use s1to denote the first word of thesource s, t1to denote the first word of the target t.Lexical features ... during translation. This indicatesthat boundary words of blocks may keep informa-tion for their movements/reorderings. To test thishypothesis, we calculate the information gain ra-tio (IGR) for ... 521–528,Sydney, July 2006.c2006 Association for Computational LinguisticsMaximum Entropy Based Phrase ReorderingModel for Statistical Machine Translation Deyi XiongInstitute of Computing...
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