z-logo
open-access-imgOpen Access
Mildly Non-Projective Dependency Grammar
Author(s) -
Marco Kuhlmann
Publication year - 2012
Publication title -
computational linguistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.314
H-Index - 98
eISSN - 1530-9312
pISSN - 0891-2017
DOI - 10.1162/coli_a_00125
Subject(s) - computer science , link grammar , dependency grammar , word grammar , natural language processing , mildly context sensitive grammar formalism , tree adjoining grammar , parsing , grammar , dependency (uml) , syntax , head driven phrase structure grammar , operator precedence grammar , artificial intelligence , rotation formalisms in three dimensions , phrase structure grammar , context sensitive grammar , linguistics , phrase structure rules , emergent grammar , relational grammar , attribute grammar , context free grammar , mathematics , generative grammar , philosophy , geometry
Syntactic representations based on word-to-word dependencies have a long-standing tradition in descriptive linguistics, and receive considerable interest in many applications. Nevertheless, dependency syntax has remained somewhat of an island from a formal point of view. Moreover, most formalisms available for dependency grammar are restricted to projective analyses, and thus not able to support natural accounts of phenomena such as wh-movement and cross–serial dependencies. In this article we present a formalism for non-projective dependency grammar in the framework of linear context-free rewriting systems. A characteristic property of our formalism is a close correspondence between the non-projectivity of the dependency trees admitted by a grammar on the one hand, and the parsing complexity of the grammar on the other. We show that parsing with unrestricted grammars is intractable. We therefore study two constraints on non-projectivity, block-degree and well-nestedness. Jointly, these two constraints define a class of “mildly” non-projective dependency grammars that can be parsed in polynomial time. An evaluation on five dependency treebanks shows that these grammars have a good coverage on empirical data

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom