- An alternative to head-driven approaches for parsing a (relatively) free word-order language
- 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), Singapore
- Book/source title
- Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing
- Book/source subtitle
- a meeting of SIGDAT, a special interest group of ACL : 6-7 August 2009, Singapore, held in conjunction with ACL-IJCNLP 2009
- Pages (from-to)
- Stroudsburg, PA: Association for Computational Linguistics (ACL)
- Volume (Publisher)
- Document type
- Conference contribution
- Interfacultary Research Institutes
- Institute for Logic, Language and Computation (ILLC)
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 configurational information. We conclude that the form-function separation ingrained in RR models makes them better suited for parsing nonconfigurational phenomena.
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.