Parallel treebanks have received increasing attention in the past few years,\nprimarily due to their potential use in statistical machine translation. Creating\nparallel treebanks manually is a time-consuming and expensive task\nand for this reason there is considerable interest in creating treebanks automatically.\nThis task can be solved using standard tools such as parsers and\naligners. However, because parallel treebanks are based on parallel corpora,\nwe are in a special situation where the same meaning is represented\nin two different ways. This thesis is about how we can exploit this information\nto create better parallel treebanks than we can by using standard\ntools....