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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-35663
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3566/


Using pattern-action rules for the generation of GPSG structures from separate semantic representations

Busemann, Stephan

Quelle: (1991) Kaiserslautern ; Saarbrücken : DFKI, 1991
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Dokument 1.pdf (11.520 KB)

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SWD-Schlagwörter: Künstliche Intelligenz , Phrasenstrukturgrammatik , Syntax
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 91-16
Sprache: Englisch
Erstellungsjahr: 1991
Publikationsdatum: 08.04.2011
Kurzfassung auf Englisch: 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.
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