Carnegie Mellon University
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Statistical Dependency Parsing of Turkish

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journal contribution
posted on 2006-04-01, 00:00 authored by Gulsen Eryigit, Kemal OflazerKemal Oflazer
This paper presents results from the first statistical dependency parser for Turkish. Turkish is a free-constituent order language with complex agglutinative inflectional and derivational morphology and presents interesting challenges for statistical parsing, as in general, dependency relations are between “portions” of words – called inflectional groups. We have explored statistical models that use different representational units for parsing. We have used the Turkish Dependency Treebank to train and test our parser but have limited this initial exploration to that subset of the treebank sentences with only left-to-right non-crossing dependency links. Our results indicate that the best accuracy in terms of the dependency relations between inflectional groups is obtained when we use inflectional groups as units in parsing, and when contexts around the dependent are employed.


Publisher Statement

Published in the Proceedings of 11th Conference of the European Chapter of the Association for Computational Linguistics, Trento, Italy, April 2006



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