We present ongoing work on data-driven parsing of German and French with Lexicalized Tree Adjoining Grammars. We use a supertagging approach combined with deep learning. We show the challenges of extracting LTAG supertags from the French Treebank, introduce the use of leftand right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.