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Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding.

, , , , , , , , , and . WMT@NAACL-HLT, page 191-199. The Association for Computer Linguistics, (2012)978-1-937284-20-6.

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Classification of MFSK modulated signals using the mean of complex envelope., and . EUSIPCO, page 1-4. IEEE, (2000)BBN System Description for WMT10 System Combination Task., , , and . WMT@ACL, page 321-326. Association for Computational Linguistics, (2010)Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task., , , and . WMT@EMNLP, page 159-165. Association for Computational Linguistics, (2011)Factor analysed hidden Markov models for speech recognition., and . Comput. Speech Lang., 18 (2): 181-200 (2004)Rao-Blackwellised Gibbs sampling for switching linear dynamical systems., and . ICASSP (1), page 809-812. IEEE, (2004)Combining Outputs from Multiple Machine Translation Systems., , , , , and . HLT-NAACL, page 228-235. The Association for Computational Linguistics, (2007)Combining Unsupervised and Supervised Alignments for MT: An Empirical Study., and . EMNLP, page 667-673. ACL, (2010)Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition., , , , , and . ICPR, page 2861-2864. IEEE Computer Society, (2010)Factor analysed hidden Markov models., and . ICASSP, page 949-952. IEEE, (2002)Incremental Hypothesis Alignment for Building Confusion Networks with Application to Machine Translation System Combination., , , and . WMT@ACL, page 183-186. Association for Computational Linguistics, (2008)