German and French Neural Supertagging Experiments for LTAG Parsing

摘要

We present ongoing work on data-driven parsing of German and French with Lexi-calized 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 left-and right-sister-adjunction, present a neural architecture for the supertagger, and report experiments of n-best supertagging for French and German.