Please use this identifier to cite or link to this item: doi:10.22028/D291-25232
Title: Incremental syntactic generation of natural language with tree adjoining grammars
Author(s): Schauder, Anne
Language: English
Year of Publication: 1992
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1992
SWD key words: Künstliche Intelligenz
Free key words: Artificial Intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: This document combines the basic ideas of my master´s thesis - which has been developped within the WIP project - with new results from my work as a member of WIP, as far as they concern the integration and further development of the implemented system. ISGT (in German 'Inkrementeller Syntaktischer Generierer natürlicher Sprache mit TAGs´) is a syntactic component for a text generation system and is based on Tree Adjoining Grammars. It is lexically guided and consists of two levels of syntactic processing: A component that computes the hierarchical structure of the sentence under construction (hierarchical level) and a component that computes the word position and utters the sentence (positional level). The central aim of this work has been to design a syntactic generator that computes sentences in an incremental fashion. The realization of the incremental syntactic generator has been supported by a distributed parallel model that is used to speed up the computation of single parts of the sentence.
Link to this record: urn:nbn:de:bsz:291-scidok-50618
Series name: Document / Deutsches Forschungszentrum für Künstliche Intelligenz : D [ISSN 0946-0098]
Series volume: 92-21
Date of registration: 7-Mar-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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