Statistical significance in BLEU score differences is tested by paired bootstrap re-sampling (Koehn, 2004).
considering the huge number of classes may cause serious data sparseness problem and thereby degrade the classification accuracy, we approximate CBSM by a binary classification problem which can be solved by the maximum entropy (ME) approach (Berger et al., 1996) as follows: where υ ∈ {0, 1} is the indicator whether the source-side rule is applied during decoding, υ = 1 when the source-side rule is applied, otherwise υ = 0; h i is a feature function, λ i is the weight of h i .