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Tree-adjoining grammar

About: Tree-adjoining grammar is a research topic. Over the lifetime, 2491 publications have been published within this topic receiving 57813 citations.


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Book ChapterDOI
25 Sep 2006
TL;DR: An arc-consistency algorithm for context-free grammars, an investigation of when logic combinations of grammar constraints are tractable, and when the boundaries run between regular, context- free, and context-sensitive grammar filtering are studied.
Abstract: By introducing the Regular Membership Constraint, Gilles Pesant pioneered the idea of basing constraints on formal languages. The paper presented here is highly motivated by this work, taking the obvious next step, namely to investigate constraints based on grammars higher up in the Chomsky hierarchy. We devise an arc-consistency algorithm for context-free grammars, investigate when logic combinations of grammar constraints are tractable, show how to exploit non-constant size grammars and reorderings of languages, and study where the boundaries run between regular, context-free, and context-sensitive grammar filtering.

51 citations

Journal ArticleDOI
TL;DR: This article argues that XMG displays three features that facilitate both grammar writing and a fast prototyping of tree-based grammars, and explains how this architecture naturally supports the design of three linguistic formalisms, namely, FB-LTAG, IG, and Multi-Component Tree-Adjoining Grammar (MC-TAG).
Abstract: In this article, we introduce eXtensible MetaGrammar (xmg), a framework for specifying tree-based grammars such as Feature-Based Lexicalised Tree-Adjoining Grammars (FB-LTAG) and Interaction Grammars (IG). We argue that xmg displays three features which facilitate both grammar writing and a fast prototyping of tree-based grammars. Firstly, \xmg\ is fully declarative. For instance, it permits a declarative treatment of diathesis that markedly departs from the procedural lexical rules often used to specify tree-based grammars. Secondly, the \xmg\ language has a high notational expressivity in that it supports multiple linguistic dimensions, inheritance and a sophisticated treatment of identifiers. Thirdly, xmg is extensible in that its computational architecture facilitates the extension to other linguistic formalisms. We explain how this architecture naturally supports the design of three linguistic formalisms namely, FB-LTAG, IG, and Multi-Component Tree-Adjoining Grammar (MC-TAG). We further show how it permits a straightforward integration of additional mechanisms such as linguistic and formal principles. To further illustrate the declarativity, notational expressivity and extensibility of \xmg , we describe the methodology used to specify an FB-LTAG for French augmented with a unification-based compositional semantics. This illustrates both how xmg facilitates the modelling of the tree fragment hierarchies required to specify tree-based grammars and of a syntax/semantics interface between semantic representations and syntactic trees. Finally, we briefly report on several grammars for French, English and German that were implemented using \xmg\ and compare \xmg\ to other existing grammar specification frameworks for tree-based grammars.

51 citations

Journal ArticleDOI
TL;DR: It is shown that context-free valence grammars over finite monoids or commutative monoids have the same power as valence Grammar over finite groups or Commutative groups, respectively.

50 citations

Journal ArticleDOI
TL;DR: A novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.
Abstract: We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically plausible lexicons.

50 citations

Proceedings Article
01 Jan 1989

50 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202315
202225
20217
20205
20196
201811