Model combination for machine translation (2010)

by John Denero , Shankar Kumar , Ciprian Chelba , Franz Och
Venue:In Proceedings NAACL-HLT
Citations:8 - 0 self

Active Bibliography

8 Consensus training for consensus decoding in machine translation – Adam Pauls, John Denero, Dan Klein - 2009
Lattice Rescoring Methods for Statistical Machine Translation – Graeme Blackwood
2 A Unified Approach to Minimum Risk Training and Decoding – Abhishek Arun, Barry Haddow
Maximum Rank Correlation Training for Statistical Machine Translation – Daqi Zheng, Yifan He, Yang Liu, Qun Liu
3 Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices – Graeme Blackwood, Adrià De Gispert, William Byrne
1 Machine Translation with Lattices and Forests – Haitao Mi, Liang Huang, Qun Liu
Minimum Bayes-risk System Combination Jesús González-Rubio – U. Politècnica De València, Alfons Juan, Francisco Casacuberta
1 Learning Translation Consensus with Structured Label Propagation †Shujie Liu*, – Chi-ho Li, Mu Li, Ming Zhou
18 Fast consensus decoding over translation forests – John Denero, David Chiang, Kevin Knight - 2009
1 Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation – Zhifei Li, Jason Eisner, Ziyuan Wang, Sanjeev Khudanpur
8 The CMU-ARK German-English Translation System – Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith
Preference Grammars and Decoding Algorithms for Probabilistic Synchronous Context Free Grammar Based Translation. – Ashish Venugopal, A. Smith, Alex Waibel, Ashish Venugopal
Alignment Models and Algorithms for Statistical Machine Translation – James Brunning - 2010
10 Improving Word Alignment with Bridge Languages – Shankar Kumar, Franz Och, Wolfgang Macherey, Google Inc
5 Joint Decoding with Multiple Translation Models – Yang Liu, Haitao Mi, Yang Feng, Qun Liu
2 Combining Multiple Alignments to Improve Machine Translation – Zhaopeng Tu, Yang Liu, Y He, Jose Genabith, Qun Liu, Shouxun Lin
Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies – Zhifei Li, Chris Callison-burch, Chris Dyer, Juri Ganitkevitch, Ann Irvine, Lane Schwartz, Wren N. G. Thornton, Ziyuan Wang, Jonathan Weese, Omar F. Zaidan
1 Voting on N-grams for Machine Translation System Combination – Kenneth Heafield, Alon Lavie
4 Sentence-Level Quality Estimation for MT System Combination – Tsuyoshi Okita, Raphaël Rubino, Jose Genabith