Paper: Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text

ACL ID P13-2055
Title Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

As most of the world?s languages are under-resourced, projection algorithms offer an enticing way to bootstrap the resources available for one resource- poor language from a resource-rich lan- guage by means of parallel text and word alignment. These algorithms, however, make the strong assumption that the language pairs share common structures and that the parse trees will resemble one another. This assump- tion is useful but often leads to errors in projection. In this paper, we will address this weakness by using trees created from instances of Interlinear Glossed Text (IGT) to discover pat- terns of divergence between the lan- guages. We will show that this method improves the performance of projection algorithms significantly in some lan- guages by accounting for divergence be- tween ...