consensus network decoding for statistical machine translation system combination

... mixture decoding (HM decoding) , a new decoding scheme that performs translation reconstruction using hypo- theses generated by multiple translation systems. HM decoding involves two decoding ... component systems. 4.6 Comparison to Consensus Decoding Consensus decoding is another decoding technique that motivates our approach. We compare our HM decoding with two latest multiple -system ... component system, decoding methods based on multiple SMT systems can provide significant improvements on oracle translations; word-level system combination, collaborative decoding and model combination...

Ngày tải lên: 07/03/2014, 22:20

... 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 ... 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. In ... 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

Ngày tải lên: 23/03/2014, 16:21

Ngày tải lên: 23/03/2014, 16:20

... for statistical machine translation. Machine Translation, pages 187-207. Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar. 2008. Semi-supervised Model Adaptation for Statisti- cal 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. ... Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation. In Proc. of EMNLP 2008, pages 89-97. 468 phrase-based machine translation system (Koehn et al., 2007), as the...

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 ... 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 Translation. In: ... Association for Computational Linguistics, pages 834–843, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Bilingual Sense Similarity for Statistical Machine Translation...

Ngày tải lên: 20/02/2014, 04:20

... 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 ... 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 ... 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 ... abbreviations for systems are as follows: BL: Baseline system, GS: System trained with only gen- erated sentence pairs, IT: Interpolated phrase table with GS and BL,. GA and IA are GS and IT systems...

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 ... 2006. c 2006 Association for Computational Linguistics Combination of Arabic Preprocessing Schemes for Statistical Machine Translation Fatiha Sadat Institute for Information Technology National ... 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...

Ngày tải lên: 20/02/2014, 11:21

... reordered system produces a better translation for than the baseline If baseline produces a better translation for than the reordered system. If the two systems produce equal quality translations ... 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. ...

Ngày tải lên: 20/02/2014, 15:20

... setting during decoding does not change performance: the list just restricts the possible target translations for a source phrase. Under this model, the log-probability of a possible translation ... pages 557–564, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics A Localized Prediction Model for Statistical Machine Translation Christoph Tillmann and Tong Zhang IBM T.J. ... @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...

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 ... 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. We show ... the lexicon models used in statistical machine translation systems do not include any kind of linguistic or contextual information, which often leads to problems in performing a cor- rect word...

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: ... 48.0 72.2 As far as we know, only two recent papers have dealt with decoding problem for machine translation systems that use translation models based on hid- den alignments without a monotonicity ... 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 ... and travel di- alogues. For the news domain, we trained our system using a portion of UN data for NIST 2006 evaluation campaign. The system was de- veloped on LDC Multiple -Translation Chinese (MTC) ... (PB-SMT) 1 http://ictclas.org/index.html 2 http://www.ldc.upenn.edu/Projects/ Chinese 3 http://nlp.stanford.edu/software/ segmenter.shtml system Moses (Koehn et al., 2007). The perfor- mance of PB-SMT system is measured with BLEU score (Papineni et...

Ngày tải lên: 22/02/2014, 02:20

... 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 ... possi- ble non-aligned word to get blocks E(b) 6: for each block b ∗ ∈ b  E(b) do 7: Register b ∗ to the links of four corners of it 8: end for 9: end for 10: for each corner C in the matrix M do 11:...

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