Paper: An Unsupervised System For Identifying English Inclusions In German Text

ACL ID P05-2023
Title An Unsupervised System For Identifying English Inclusions In German Text
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

We present an unsupervised system that exploits linguistic knowledge resources, namely English and German lexical databases and the World Wide Web, to identify English inclusions in German text. We describe experiments with this system and the corpus which was devel- oped for this task. We report the classifi- cation results of our system and compare them to the performance of a trained ma- chine learner in a series of in- and cross- domain experiments.