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Using Pattern-Action Rules for the Generation of GPSG Structures from MT-Oriented Semantics

Stephan Busemann
In: John Mylopoulos; Raymond Reiter (Hrsg.). Proceedings of the 12th International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-91), August 24-30, Sydney, NSW, Australia, Pages 1003-1011, Morgan Kaufmann Publishers, 1991.


In many tactical NL generators the semantic input structure is taken for granted. In this paper, a new approach to multilingual, tactical generation is presented that keeps the syntax separate from the semantics. This allows for the system to be directly adapted to application-dependent representations. In the case at hand, the semantics is specifically designed for sentence-semantic transfer in a machine translation system. The syntax formalism used is Generalized Phrase Structure Grammar (GPSG). The mapping from semantic onto syntactic structures is performed by a set of pattern-action rules. Each rule matches a piece of the input structure and guides the GPSG structure-building process by telling it which syntax rule(s) to apply. The scope of each pattern-action rule is strictly local, the actions are primitive, and rules can not call each other. These restrictions render the production rule approach both highly modular and transparent.