Paper: A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing

ACL ID P11-1089
Title A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

Most previous studies of morphological dis- ambiguation 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 mor- phological 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 pa- per, 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 morpho- logical disambiguation, and a pipeline parser in head selection.