Automatic classification of German an particle verbs

Sylvia Springorum, Sabine Schulte im Walde, Antje Roßdeutscher

Abstract
The current study works at the interface of theoretical and computational linguistics to explore the semantic properties of an particle verbs, i.e., German particle verbs with the particle an. Based on a thorough analysis of the particle verbs from a theoretical point of view, we identified empirical features and performed an automatic semantic classification. A focus of the study was on the mutual profit of theoretical and empirical perspectives with respect to salient semantic properties of the an particle verbs: (a) how can we transform the theoretical insights into empirical, corpus-based features, (b) to what extent can we replicate the theoretical classification by a machine learning approach, and (c) can the computational analysis in turn deepen our insights to the semantic properties of the particle verbs? The best classification result of 70% correct class assignments was reached through a GermaNet-based generalization of direct object nouns plus a prepositional phrase feature. These particle verb features in combination with a detailed analysis of the results at the same time confirmed and enlarged our knowledge about salient properties.
Anthology ID:
L12-1070
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
73–80
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/214_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Sylvia Springorum, Sabine Schulte im Walde, and Antje Roßdeutscher. 2012. Automatic classification of German an particle verbs. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 73–80, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Automatic classification of German an particle verbs (Springorum et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/214_Paper.pdf
PDF Search