Using foreign inclusion detection to improve parsing performance

Abstract

Inclusions from other languages can be a significant source of errors for monolin-gual parsers. We show this for English inclusions, which are sufficiently frequent topresent a problem when parsing German. We describe an annotation-free approach for accurately detecting such inclusions, and develop two methods for interfacing this approach with a state-of-the-art parser for German. An evaluation on the TIGER corpus shows that our inclusion entity model achieves a performance gain of 4.3 points in F-score over a baseline of no inclusion detection, and even outperforms a parser with access to gold standard part-of-speech tags