Please use this identifier to cite or link to this item: doi:10.22028/D291-25361
Title: German nominal syntax in HPSG - on syntactic categories and syntagmatic relations -
Author(s): Oepen, Stephan
Language: English
Year of Publication: 1994
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: The German nominal group - even when reduced to the core inventory of nouns, determiners and attributive adjectives - is a morphologically and syntactically complex structure. In this paper it is suggested that a detailed understanding of the (morpho-) syntactic categories and the syntagmatic relations exhibited in the core nominal group is a prerequisite to an adequate analysis. It will be argued that the two fundamental syntagmatic relations holding within the nominal group, viz. GOVERNMENT and AGREEMENT, have to figure as theoretically primitive concepts in any reasonably detailed account of nominal structures. Explicating government and agreement relations and especially separating one from the other, will presuppose a sufficient inventory of formal descriptive devices in any particular theory of grammar. The paper is settled in the framework of Head-Driven Phrase Structure Grammar (HPSG). Recent HPSG analyses for the German nominal group that have been put forth in [Pollard and Sag 1994] and [Netter 1994] are studied in detail contrasting them to (semi-) formal proposals from other linguistic frameworks; potential problems as weIl as some abstract joint properties of the two HPSG approaches are exemplified. Building on this comparison it is concluded that in exactly the linguistic stipulations shared by the two accounts, two important generalizations about the inherent structure 'of the German nominal group are to be found. At the same time the [Pollard and Sag 1994] analysis is tentatively reformulated.
Link to this record: urn:nbn:de:bsz:291-scidok-55627
Series name: Document / Deutsches Forschungszentrum für Künstliche Intelligenz : D [ISSN 0946-0098]
Series volume: 94-15
Date of registration: 28-Nov-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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