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    Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
    13 years 6 months ago
    Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
    Download  ssli.ee.washington.edu
    Current re-ranking algorithms for machine translation rely on log-linear models, which have the potential problem of underfitting the training data. We present BoostedMERT, a nove...
    Kevin Duh, Katrin Kirchhoff
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