Computing consensus translation from multiple machine translation systems (2001)

Cached

Download Links

by Srinivas Bangalore
Venue:In Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU-2001
Citations:47 - 1 self

Documents Related by Co-Citation

1470 BLEU: a Method for Automatic Evaluation of Machine Translation – Kishore Papineni, Salim Roukos, Todd Ward, Wei-jing Zhu - 2002
49 Computing consensus translation from multiple machine translation systems using enhanced hypotheses alignment – Evgeny Matusov, Nicola Ueffing, Hermann Ney
321 A Post-Processing System To Yield Reduced Word Error Rates: Recognizer Output Voting Error Reduction (ROVER) – Jonathan G. Fiscus - 1997
40 Multi-engine Machine Translation Guided by Explicit Word Matching – Shyamsundar Jayaraman, Alon Lavie - 2005
65 Three Heads are Better than One – R Frederking, S Nirenburg - 1994
370 A study of translation edit rate with targeted human annotation – Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, John Makhoul - 2006
39 Consensus network decoding for statistical machine translation system combination – K. C. Sim, W. J. Byrne, M. J. F. Gales, H. Sahbi, P. C. Woodl - 2007
42 Improved Word-Level System Combination for Machine Translation – Antti-veikko I. Rosti, Spyros Matsoukas, Richard Schwartz
7 Nobody is Perfect: ATR’s Hybrid Approach to Spoken Language Translation – Michael Paul, Takao Doi, Youngsook Hwang, Kenji Imamura, Hideo Okuma, Eiichiro Sumita - 2005
1250 A Systematic Comparison of Various Statistical Alignment Models – Franz Josef Och, Hermann Ney, Franz Josef, Och Hermann Ney - 2003
116 Minimum bayes-risk decoding for statistical machine translation – Shankar Kumar, William Byrne, Speech Processing - 2004
23 Machine Translation System Combination using ITG-based Alignments ∗ – Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer
17 Multi-engine machine translation with voted language model – Tadashi Nomoto - 2004
367 Discriminative Training and Maximum Entropy Models for Statistical Machine Translation – Franz Josef Och, Hermann Ney - 2002
27 Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems – Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore
10 Combining outputs from multiple machine translation systems – 2007a
21 Incremental hypothesis alignment for building confusion networks with application to machine translation system combination – Antti-veikko I. Rosti, Bing Zhang, Spyros Matsoukas, Richard Schwartz - 2008
828 Biological sequence analysis: probabilistic models of proteins and nucleic acids. Cambridge Univ – Richard Durbin, Sean Eddy, Anders Krogh, Graeme Mitchison - 1998
135 METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments – Alon Lavie, Abhaya Agarwal - 2005