discriminative feature tied mixture modeling for statistical machine translation

Ngày tải lên: 17/03/2014, 00:20

... 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...

Ngày tải lên: 07/03/2014, 22:20

Ngày tải lên: 23/03/2014, 17:20

... Model Adaptation for Statisti- cal Machine Translation. Machine Translation, pages 77-94. 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, ... source toolkit for statistical machine translation. In Proc. of ACL 2007, Demonstration Session, pages 177-180. Yang Liu, Qun Liu and Shouxun Lin. 2006. Tree- to-String Alignment Template for Statistical Machine Translation. ...

Ngày tải lên: 19/02/2014, 19:20

... Phrase-Based Model 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...

Ngày tải lên: 19/02/2014, 19:20

... 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....

Ngày tải lên: 20/02/2014, 04:20

... source toolkit for parsing-based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation, pages 135–139, Athens, Greece, March. Association for Computational ... our “before” system already got the translation correct without the need for the additional phrase translation. This is because though the “before” system had never seen the Urdu expression for ... HNG, for short. HNG solicits translations only for trigger n-grams and not for entire sentences. We provide senten- tial context, highlight the trigger n-gram that we want translated, and ask for...

Ngày tải lên: 20/02/2014, 04:20

... 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 Linguistics Unsupervised Search for The Optimal Segmentation for Statistical Machine Translation Cos¸kun Mermer 1,3 and Ahmet Afs¸ın...

Ngày tải lên: 20/02/2014, 04:20

... Association for Computational Linguistics. Philipp Koehn et al. 2007. Moses: Open source toolkit for statistical machine translation. In Proceedings of the 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 Linguistics Corpus 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 ...

Ngày tải lên: 20/02/2014, 04:20

... 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 Linguistics Combination of Arabic Preprocessing Schemes for Statistical Machine Translation Fatiha Sadat Institute for Information Technology National...

Ngày tải lên: 20/02/2014, 11:21

... 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-based language 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...

Ngày tải lên: 20/02/2014, 15:20

... 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.com Abstract In this paper, we present a novel training method 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 phrases which are translations of each other. For example, Fig. 1 shows an Arabic-English translation example that uses blocks....

Ngày tải lên: 20/02/2014, 15:20

... entropy approach is outlined in Section 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 the Verbmobil Test-147 for different contextual infor- mation and different thresholds using the top-10 translations. The baseline translation results for model ... problem within the 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....

Ngày tải lên: 20/02/2014, 18:20

... 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...

Ngày tải lên: 20/02/2014, 18:20

... 2009. c 2009 Association for Computational Linguistics Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation Yanjun Ma Andy Way National Centre for Language Technology School ... observe that the ICT and Stanford segmenter consistently outperform the LDC segmenter. Even using 3M sentence pairs for training, the differ- ences between them are still statistically signifi- cant ... LDC seg- menter 2 and Stanford segmenter version 2006-05- 11 3 . Both ICTCLAS and Stanford segmenters utilise machine learning techniques, with Hidden Markov Models for ICT (Zhang et al., 2003)...

Ngày tải lên: 22/02/2014, 02:20

... smorgasbord of 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. In EMNLP, 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...

Ngày tải lên: 08/03/2014, 01:20

... of features, lexi- cal features and collocation features. For a block b = (s, t), we use s 1 to denote the first word of the source s, t 1 to denote the first word of the target t. Lexical features ... during translation. This indicates that boundary words of blocks may keep informa- tion for their movements/reorderings. To test this hypothesis, we calculate the information gain ra- tio (IGR) for ... 521–528, Sydney, July 2006. c 2006 Association for Computational Linguistics Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation Deyi Xiong Institute of Computing...

Ngày tải lên: 08/03/2014, 02:21

Ngày tải lên: 08/03/2014, 02:21

Ngày tải lên: 08/03/2014, 02:21

Ngày tải lên: 17/03/2014, 00:20