When dealing with evaluation metrics based on lexical matching, such as BLEU or NIST, it is easier to understand how and why they work, and what their limitations are.
in the previous two sections we provided a quantitative analysis of which discourse information has the biggest impact on the performance of our discourse-based measure (DR-LEX) and also which parts of the discourse trees help in distinguishing good from bad translations.