Abstract
In this paper, we investigate the usage of a non-canonical German passive alternation for ditransitive verbs, the recipient passive, in naturally occuring corpus data. We propose a classifier that predicts the voice of a ditransitive verb based on the contextually determined properties its arguments. As the recipient passive is a low frequent phenomenon, we first create a special data set focussing on German ditransitive verbs which are frequently used in the recipient passive. We use a broad-coverage grammar-based parser, the German LFG parser, to automatically annotate our data set for the morpho-syntactic properties of the involved predicate arguments. We train a Maximum Entropy classifier on the automatically annotated sentences and achieve an accuracy of 98.05%, clearly outperforming the baseline that always predicts active voice baseline (94.6%).- Anthology ID:
- L12-1144
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1637–1644
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/311_Paper.pdf
- DOI:
- Cite (ACL):
- Patrick Ziering, Sina Zarrieß, and Jonas Kuhn. 2012. A Corpus-based Study of the German Recipient Passive. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1637–1644, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- A Corpus-based Study of the German Recipient Passive (Ziering et al., LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/311_Paper.pdf