Developing a quality assessment algorithm for dependency trees will allow us to apply confidencebased ZL to unsupervised dependency parsing.
it will enable us to explore the combination of the methods proposed in (Spitkovsky et al., 2010) with ZL for the DMV model and to integrate the PUPA score into their bootstrapping algorithm.