Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles

Sina Zarrieß, Aoife Cahill, Jonas Kuhn, Christian Rohrer
2010 International Conference on Computational Linguistics  
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.
dblp:conf/coling/ZarriessCKR10 fatcat:ivxzyofdjnbenizwhfwjnq6brq