Multi-Engine Machine Translation

Date: Friday, Feb 17, 2012
Time: 10:00am - 12:00pm
Venue: CS Conference Room (CSB 453) 
Committee: Kathy McKeown (supervisor), Michael Collins and Nizar Habash

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• Sentence-based Combination
  
  　
  1. Predictive Models of Performance in Multi-Engine Machine Translation
     
     Nomoto, Tadashi. 2003. In Proc. of MT Summit, pages 269–276.
     
     　
  2. Choosing the Right Translation: A Syntactically Informed Approach
     
     S.Zwarts and M. Dras. In: Coling 2008, Manchester.
     
     　
  3. Combination of machine translation systems via hypothesis selection from combined n-best lists
     
     Almut Silja Hildebrand and Stephan Vogel. 2008. In MT at work: Proceedings of the Eighth Conference of the Association for Machine Translation in the Americas, pages 254–261, Waikiki, Hawaii, October. Association for Machine Translation in the Americas.
     
     　
  4. Minimum Bayes-Risk Decoding for Statistical Machine Translation
     
     S. Kumar and W. Byrne. 2004. In HLTNAACL, pages 169–176, Boston, MA, USA.
     　

• Word-based Combination
  　

1. Computing consensus translation from multiple machine translation systems using enhanced hypotheses alignment
   
   Evgeny Matusov, Nicola Ueffing, and Hermann Ney 2006. in Proc. EACL.
   
   　
2. System combination for machine translation of spoken and written language
   
   E. Matusov, G. Leusch, R. E. Banchs, N. Bertoldi, D. Dechelotte, M. Federico, M. Kolss, Y. S. Lee, J. B. Marino, M. Paulik, S. Roukos, H. Schwenk, and H. Ney. 2008. IEEE Transactions on Audio, Speech and Language Processing, 16(7):1222–1237, September.
   
   　
3. Improved Word-Level System Combination for Machine Translation
   
   Antti-Veikko I. Rosti, Spyros Matsoukas, and Richard Schwartz. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 312–319, Prague, Czech Republic, June 2007.
   
   　
4. Consensus network decoding for statistical machine translation system combination
   
   K.C. Sim, W.J. Byrne, M.J.F. Gales, H. Sahbi and P.C. Woodland, 2007. in Proc. ICASSP.
   
   　
5. Multi-Engine Machine Translation Guided by Explicit Word Matching
   
   2005, Jayaraman, S. and A. Lavie. In Proceedings of the 10th Annual Conference of the European Association for Machine Translation (EAMT-2005), Budapest, Hungary, May 2005.
   
   　
6. Machine Translation System Combination with Flexible Word Ordering
   
   Heafield, Hanneman, and Lavie. Proc. EACL 2009 Fourth Workshop on Statistical Machine Translation, Athens, Greece, March 30—31, 2009.
   
   　
7. Using n-gram based features for machine translation system combination
   
   Yong Zhao and Xiaodong He. 2009. In Proceedings of the North American Chapter of the Association for Computational Linguistics.
   
   　
8. Improving alignments for better confusion networks for combining machine translation systems
   
   Necip Fazil Ayan, Jing Zheng and Wen Wang. 2008. In Proceedings of the Coling’08, pages 33–40. 
   
   　
9. Indirect-hmm-based hypothesis alignment for computing outputs from machine translation systems
   
   Xiaodong He, Mei Yang, Jangfeng Gao, Patrick Nguyen, and Robert Moore. 2008. In Proc. of EMNLP, pages 98–107.
   
   　
10. Machine Translation System Combination using ITG-based Alignments
    
    D. Karakos, J. Eisner, S. Khudanpur, and M. Dreyer. 2008. In Proceeding of ACL-HLT 2008, pp. 81–84.
    
    　
11. Joint optimization for machine translation system combination
    
    Xiaodong He and Kristina Toutanova. 2009. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.

• Phrase-based Combination

  　

  1. Three Heads are Better than One
     
     Frederking, Robert and Sergei Nirenburg. 1994. In Proc. of the ACL Conference on Applied Natural Language Processing, pages 95 – 100.
     
     　
  2. Lattice-based system combination for statistical machine translation
     
     Yang Feng, Yang Liu, Haitao Mi, Qun Liu and Yajuan L. 2009. In Proceedings of the EMNLP’09, pages 1105–1113.
     
     　
  3. Using TERp to Augment the System Combination for SMT
     
     Du, J. and A. Way. 2010. In Proceedings of the Ninth Conference of the Association for Machine Translation (AMTA2010), Denver, Colorado, USA.
     
     　
  4. Machine Translation System Combination by Confusion Forest
     
     Taro Watanabe, Eiichiro Sumita. ACL 2011: 1249-1257
     
     　
  5. Multi-Engine Machine Translation by Recursive Sentence Decomposition
     
     B. Mellebeek, K. Owczarzak, J. Van Genabith, A. Way. 2006. In Proceedings of the 7th biennial conference of the Association for Machine Translation in the Americas. pp. 110-118. Boston, MA.
     
     　
  6. Combining outputs from multiple machine translation systems
     
     Antti-Veikko I. Rosti, Necip F. Ayan, Bing Xiang, Spyros Matsoukas, Richard Schwartz, and Bonnie J. Dorr. 2007. In Proc. of NAACL-HLT
     
     　
  7. Combining Multi-Engine Translations with Moses
     
     Yu Chen, Michael Jellinghaus, Andreas Eisele, Yi Zhang, Sabine Hunsicker, Silke Theison, Christian Federmann, Hans Uszkoreit. 2009. Proceedings of the Fourth Workshop on Statistical Machine Translation. EACL.
     
     　
  8. Hierarchical system combination for machine translation
     
     F Huang, K Papineni, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.
     
     　
  9. Statistical phrase-based translation
     
     P. Koehn, F.J. Och, and D. Marcu. 2003. In Proceedings of the Joint Conference on Human Language Technologies and the Annual Meeting of the North American Chapter of the Association of Computational Linguistics (HLT/NAACL)
     
     　
  10. Improved Statistical Machine Translation Using Paraphrases
      
      Chris Callison-Burch, Philipp Koehn and Miles Osborne. 2006. NAACL

  　

• Synthetic Performance Analysis
  　

1. An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
   
   Wolfgang Macherey, Franz J. Och, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 986-995.
   
   　
2. A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
   
   Boxing Chen, Min Zhang and Aiti Aw. 2009. In Proceedings of ACL-IJCNLP-2009. pp. 1067-1074. Singapore. August.
   
   　
3. Findings of the 2011 Workshop on Statistical Machine Translation (only system combination part)
   
   Chris Callison-Burch, Philipp Koehn, Christof Monz, and Omar Zaidan, 2011. In Proceedings of Workshop on Statistical Machine Translation (WMT11)