This paper compares different bilexical tree-based models for bilingual alignment. EM training for the new model benefits from the dynamic programming “hook trick”. The model produces improved dependency structure for both languages. that we must choose how to lexicalize very carefully to control complexity. In this paper we compare two approaches to lexicalization, both of which incorporate bilexical probabilities.