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Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimize. Building on the w...
We present an open-source frameworkfor large-scale online structured learning.Developed with the flexibility to handle cost-augmented inference problems suchas statistical machine translation (SMT), o...
Although discriminative training guarantees to improve statistical machine translation by in-corporating a large amount of overlapping fea-tures, it is hard to scale up to large data due to decoding c...

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