Generating from a deep structure

Noncanonical semantic representations are representations which cannot be derived by some grammar G although they are semanticMly equivalent to representations which can be derived by G. This paper presents a generation Mgorithm which deals with noncanonical input. The proposed approach also enhances portability and language independence in that (i) linguistic decisions made by ndependent modules (e.g., planner, transfer component) can be communicated to the generator in a ntural way and (it) the same Mgorithm coupled with different grammars will yield sentences in the corresponding languages