Cross-lingual induction for deep broad-coverage syntax: a case study on German participles

Authors:
Sina Zarrieß;Aoife Cahill;Jonas Kuhn;Christian Rohrer
Affiliations:
University of Stuttgart;University of Stuttgart;University of Stuttgart;University of Stuttgart
Venue:
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Year:
2010

Citing 6
Cited 0

Inducing multilingual text analysis tools via robust projection across aligned corpora

HLT '01 Proceedings of the first international conference on Human language technology research
Parsing the wall street journal using a Lexical-Functional Grammar and discriminative estimation techniques

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Bootstrapping parsers via syntactic projection across parallel texts

Natural Language Engineering
A comparison of algorithms for maximum entropy parameter estimation

COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Cross-lingual annotation projection of semantic roles

Journal of Artificial Intelligence Research
A cross-lingual induction technique for German adverbial participles

NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is a case study on cross-lingual induction of lexical resources for deep, broad-coverage syntactic analysis of German. We use a parallel corpus to induce a classifier for German participles which can predict their syntactic category. By means of this classifier, we induce a resource of adverbial participles from a huge monolingual corpus of German. We integrate the resource into a German LFG grammar and show that it improves parsing coverage while maintaining accuracy.