Evaluation of machine translation with dependent Skip-Ngrams

We propose an automatic evaluation method for the machine translations system. The method extends the idea of skip-bigram with unequal length grams and dependency relations. The unequal length relax the constrains of the previous method and the dependency relations qualify the grams with linguistic knowledge. The effectiveness of the new method is approved by the experimental results with various settings on sentence level.