As to the domain adaptation experiments, weights optimized through perplexity minimization are significantly better in the majority of cases, and never significantly worse, than uniform  weights.
12 the difference is smaller for the experiments with an adapted language model than for those with an out-of-domain one, which confirms that the benefit of language model adaptation and translation model adaptation are not fully cumulative.