Paper: Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning

ACL ID D14-1187
Title Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

When Part-of-Speech annotated data is scarce, e.g. for under-resourced lan- guages, one can turn to cross-lingual trans- fer and crawled dictionaries to collect par- tially supervised data. We cast this prob- lem in the framework of ambiguous learn- ing and show how to learn an accurate history-based model. Experiments on ten languages show significant improvements over prior state of the art performance.