Publikation

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 Seiten 1003-1011 Morgan Kaufmann Publishers 1991.

Abstrakt

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.

Busemann_1991_UPARFTGOG.pdf (pdf, 352 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence