We compare our system (referred to as TIG) to our implementation of the TSG system of<cite> (Cohn and Blunsom, 2010</cite> ) (referred to as TSG) and the constrained TIG variant of (Shindo et al., 2011 ) (referred to as TIG 0 ). The upshot of our experiments is that, while on the large training set all models have similar performance (85.6, 85.3, 85 .4 for TSG, TIG 0 and TIG respectively), on the small dataset insertion helps nonparametric model to find more compact and generalizable representations for the data, which affects parsing performance (Figure 4 ).