Morphology and syntax interact considerably in many languages and language processing should pay attention to these interdependen-cies. We analyze the effect of syntactic fea-tures when used in automatic morphology pre-diction on four typologically different lan-guages. We show that predicting morphology for languages with highly ambiguous word forms profits from taking the syntactic context of words into account and results in state-of-the-art models. 1