A phrase dependency treebank(PDT)integrating phrase structure grammar and dependency grammar is proposed and elaborated to cater for translation studies.The construction of DUT Parallel Chinese-English PDT(DUT-CEPDT)is reported.PDT favors flat structures and the dependency is based on semantics rather than syntactic functions,which differs from the mainstream dependency analysis that favors binary branching.The raw texts of DUT-CEPDT are Chinese government work reports and White Papers and their official English translation.First of all,after word segmentation and part of speech(POS)tagging,Chinese PDT and English PDT are constructed manually with the aid of LingTreeConstructor,a tool tailored for linguists.Then,node alignment, which covers translation alignments of words,phrases,clauses up to the whole passage,is proposed instead of traditional word or sentence alignment to provide more translation knowledge.Lastly, semantic roles based on the FrameNet are labeled simultaneously on the aligned nodes of the English and Chinese trees.DUT-CEPDT can serve as a resource and standard of the training and assessment of both human translators and machine translation systems.