@inproceedings{ziering-etal-2012-corpus,
title = "A Corpus-based Study of the {G}erman Recipient Passive",
author = "Ziering, Patrick and
Zarrie{\ss}, Sina and
Kuhn, Jonas",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/311_Paper.pdf",
pages = "1637--1644",
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{\%}).",
}
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%0 Conference Proceedings
%T A Corpus-based Study of the German Recipient Passive
%A Ziering, Patrick
%A Zarrieß, Sina
%A Kuhn, Jonas
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F ziering-etal-2012-corpus
%X 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%).
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/311_Paper.pdf
%P 1637-1644
Markdown (Informal)
[A Corpus-based Study of the German Recipient Passive](http://www.lrec-conf.org/proceedings/lrec2012/pdf/311_Paper.pdf) (Ziering et al., LREC 2012)
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).