Then we employ an n-gram language model (LM) to score these candidates and select the one with the lowest perplexity as final result.
another option is to pre-process the input sentence by inserting possible DPs with the DP generation model (Section 2.2) so that the DP-inserted input (Input ZH+DPs) is translated.