Paper Info
Title
An unsupervised system for identifying English inclusions in German text
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.
Year
Venue
Keywords
2005
ACL
cross-domain experiment,german text,unsupervised system,english inclusion,trained machine learner,linguistic knowledge resource,classification result,world wide web,german lexical databases
DocType
Volume
Citations 
Conference
P05-2
5
PageRank 
References 
Authors
0.53
9
1
Name
Order
Citations
PageRank
Beatrice Alex123725.59