The partially joint model SegTag+TagDep is shown to perform reasonably well in dependency parsing: with dictionaries, it achieved the 2.02% improvement over SegTag+Dep, which is only 0.32% lower than SegTagDep.
whereas Seg-Tag+TagDep showed no substantial improvement in tagging accuracies over SegTag (when the dictionaries are used), SegTagDep achieved consistent improvements of 0.46% and 0.58% (without/with dic-   tionaries); these differences can be attributed to the combination of the relieved error propagation and the incorporation of the syntactic dependencies.