An Unsupervised System for Identifying English Inclusions in German Text

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 developed for this task. We report the classification results of our system and compare them to the performance of a trained machine learner in a series of in- and cross-domain experiments.
Original languageEnglish
Title of host publicationProceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL 2005), Student Research Workshop
PublisherASSOC COMPUTATIONAL LINGUISTICS-ACL
Pages133-138
Number of pages6
Publication statusPublished - 2005

Keywords

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