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Using Foreign Inclusion Detection to Improve Parsing Performance
2007
Conference on Empirical Methods in Natural Language Processing
Inclusions from other languages can be a significant source of errors for monolingual parsers. We show this for English inclusions, which are sufficiently frequent to present 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
dblp:conf/emnlp/AlexDK07
fatcat:tabpugc4t5azdjp475gebibkqq