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31
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Computing consensus translation from multiple machine translation systems
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992
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BLEU: a Method for Automatic Evaluation of Machine Translation
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55
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Three heads are better than one
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239
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A Post-Processing System To Yield Reduced Word Error Rates: Recognizer Output Voting Error Reduction (ROVER)
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13
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Multi-engine machine translation with voted language model
– Tadashi Nomoto
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805
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A Systematic Comparison of Various Statistical Alignment Models
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204
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A study of translation edit rate with targeted human annotation
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26
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Computing Consensus Translation from Multiple Machine Translation Systems Using Enhanced Hypotheses Alignment
– Evgeny Matusov, Nicola Ueffing, Hermann Ney
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27
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Improved Word-Level System Combination for Machine Translation
– Antti-veikko I. Rosti, Spyros Matsoukas, Richard Schwartz
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26
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Consensus network decoding for statistical machine translation system combination
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17
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Incremental Hypothesis Alignment for Building Confusion Networks with Application to Machine Translation System Combination
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6
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Nobody is Perfect: ATR’s Hybrid Approach to Spoken Language Translation
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136
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Scalable inference and training of context-rich syntactic translation models
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244
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Algorithms for Minimization without Derivatives
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891
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The Mathematics of Statistical Machine Translation: Parameter Estimation
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115
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Finding Consensus in Speech Recognition: Word Error Minimization and Other Applications of Confusion Networks
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29
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Statistical Multi-Source Translation
– Franz Josef Och, Hermann Ney
- 2001
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14
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Machine Translation System Combination using ITG-based Alignments ∗
– Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer
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7
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Combining outputs from multiple machine translation systems
– 2007a
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