Our work addresses the integration of speech recognition and natural language processing for spoken dialogue systems. To deal with recognition errors, we investigate two repairing strategies integrated in a parsing based on a Lexicalized Tree Grammar. The first strategy takes its root in the recognition hypothesis, the other in the linguistic expectations. We expose a formal framework to express the grammar, to describe the repairing strategies and to foresee further strategies.