Rehbein, Ines and van Genabith, Josef (2007) Treebank annotation schemes and parser evaluation for German. In: EMNLP-CoNLL 2007 - Joint Meeting of the Conference on Empirical Methods in Natural Language Processing and the Conference on Computational Natural Language Learning, 28-30 June 2007, Prague, Czech Republic.
Abstract
Recent studies focussed on the question whether less-congurational languages like German are harder to parse than English, or whether the lower parsing scores are an
artefact of treebank encoding schemes and data structures, as claimed by K¨ubler et al. (2006). This claim is based on the assumption that PARSEVAL metrics fully reflect parse quality across treebank encoding schemes. In this paper we present new experiments to test this claim. We use the
PARSEVAL metric, the Leaf-Ancestor metric as well as a dependency-based evaluation, and present novel approaches measuring the effect of controlled error insertion on treebank trees and parser output. We also provide extensive past-parsing crosstreebank conversion. The results of the experiments show that, contrary to K¨ubler et al. (2006), the question whether or not German is harder to parse than English remains undecided.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | parser evaluation; |
Subjects: | Computer Science > Machine translating Humanities > German language |
DCU Faculties and Centres: | Research Institutes and Centres > National Centre for Language Technology (NCLT) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Association for Computational Linguistics |
Official URL: | http://www.aclweb.org/anthology/D/D07/ |
Copyright Information: | © 2007 Association for Computational Linguistics |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland, SFI 04/IN/I527 |
ID Code: | 15213 |
Deposited On: | 17 Feb 2010 16:49 by DORAS Administrator . Last Modified 19 Jul 2018 14:50 |
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