We present a method for the extraction of stochastic lexicalized tree grammars (SLTG) of different complexities from existing treebanks, which allows us to analyze the relationship of a grammar automatically induced from a treebank wrt. its size, its complexity, and its predictive power on unseen data. Processing of different S-LTG is performed by a stochastic version of the two-step Early-based parsing strategy introduced in (Schabes and Joshi, 1991). 1 Introduction In this paper we present a method for the extraction of stochastic lexicalized tree grammars (S-LTG) of different complexities from existing treebanks, which allows us to analyze the relationship of a grammar automatically induced from a treebank wrt. its size, its complexity, and its predictive power on unseen data. The use of S-LTGs is motivated for two reasons. First, it is assumed that S-LTG better capture distributional and hierarchical information than stochastic CFG (cf. (Schabes, 1992; Schabes and Waters, 1996)),...