Please use this identifier to cite or link to this item: doi:10.22028/D291-25302
Title: Modularizing codescriptive grammars for efficient parsing
Author(s): Kasper, Walter
Krieger, Hans-Ulrich
Language: English
Year of Publication: 1996
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: Unication-based theories of grammar allow to integrate different levels of linguistic descriptions in the common framework of typed feature structures. Dependencies among the levels are expressed by coreferences.Though highly attractive theoretically, using such codescriptions for analysis creates problems of efficiency. We present an approach to a modular use of codescriptions on the syntactic and semantic level. Grammatical analysis is performed by tightly coupled parsers running in tandem, each using only designated parts of the grammatical description. In the paper we describe the partitioning of grammatical information for the parsers and present results about the performance.
Link to this record: urn:nbn:de:bsz:291-scidok-53329
hdl:20.500.11880/25358
http://dx.doi.org/10.22028/D291-25302
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 140
Date of registration: 12-Jun-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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