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Towards a syntactically motivated analysis of modifiers in German

  • The Stuttgart-Tübingen Tagset (STTS) is a widely used POS annotation scheme for German which provides 54 different tags for the analysis on the part of speech level. The tagset, however, does not distinguish between adverbs and different types of particles used for expressing modality, intensity, graduation, or to mark the focus of the sentence. In the paper, we present an extension to the STTS which provides tags for a more fine-grained analysis of modification, based on a syntactic perspective on parts of speech. We argue that the new classification not only enables us to do corpus-based linguistic studies on modification, but also improves statistical parsing. We give proof of concept by training a data-driven dependency parser on data from the TiGer treebank, providing the parser a) with the original STTS tags and b) with the new tags. Results show an improved labelled accuracy for the new, syntactically motivated classification.

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Metadaten
Author:Ines Rehbein, Hagen Hirschmann
URN:urn:nbn:de:bsz:mh39-55975
URL:http://www.uni-hildesheim.de/konvens2014/pages/Proceedings.html
ISBN:978-3-934105-46-1
Parent Title (English):Proceedings of the 12th Edition of the Konvens Conference. Hildesheim, Germany. October 8 – 10, 2014
Publisher:Universitätsverlag Hildesheim
Place of publication:Hildesheim
Editor:Josef Ruppenhofer, Gertrud Faaß
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2016/11/21
Publicationstate:Veröffentlichungsversion
Reviewstate:(Verlags)-Lektorat
GND Keyword:Annotation; Automatische Sprachanalyse; Korpus <Linguistik>
First Page:30
Last Page:39
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):License LogoCreative Commons - Namensnennung 3.0 Deutschland