Paper: An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language

ACL ID D09-1088
Title An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Applying statistical parsers developed for English to languages with freer word- order has turned out to be harder than expected. This paper investigates the adequacy of different statistical parsing models for dealing with a (relatively) free word-order language. We show that the recently proposed Relational- Realizational (RR) model consistently outperforms state-of-the-art Head-Driven (HD) models on the Hebrew Treebank. Our analysis reveals a weakness of HD models: their intrinsic focus on configu- rational information. We conclude that the form-function separation ingrained in RR models makes them better suited for pars- ing nonconfigurational phenomena.