Covering the Mapping from Semantic up to Morphology by Transducers

The Meaning-Text Theory (MTT) describes a rich set of linguistic representations and their mapping. Therefore, the MTT consists of a large range of structure types like strings, trees and graphs. For the mapping of these structure types and linguistic representations, transducers seems to be the appropriate tool. However, there is no tool which covers all the levels of the MTT. Building mapping tools on common principles and covering in a few formalism all possible transitions between the levels has a lot of advantages. This paper investigates such common principles and algorithms which can be the basis for mapping tools.