showed that by selectively sharing parameters based on typological features of each language, substantial improvements can be achieved, compared to using a single set of parameters for all languages.
these methods all employ generative models with strong independence assumptions and weak feature representations, which upper bounds their accuracy far below that of feature-rich discriminative parsers (McDonald et al., 2005;Nivre, 2008).