A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing

John Lee1,  Jason Naradowsky2,  David A. Smith2
1City University of Hong Kong, 2University of Massachusetts Amherst


Abstract

Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account syntactic relations; parsers use the ``pipeline'' approach, assuming that morphological information has been separately obtained.

However, in morphologically-rich languages, there is often considerable interaction between morphology and syntax, such that neither can be disambiguated without the other. In this paper, we propose a discriminative model that jointly infers morphological properties and syntactic structures. In evaluations on various highly-inflected languages, this joint model outperforms both a baseline tagger in morphological disambiguation, and a pipeline parser in head selection.




Full paper: http://www.aclweb.org/anthology/P/P11/P11-1089.pdf