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LFG Generation by Grammar Specialization
Author(s) -
Jürgen Wedekind,
Ronald M. Kaplan
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_00113
Subject(s) - rotation formalisms in three dimensions , computer science , grammar , mildly context sensitive grammar formalism , natural language processing , operator precedence grammar , affix grammar , artificial intelligence , attribute grammar , emergent grammar , context (archaeology) , generative grammar , head driven phrase structure grammar , synchronous context free grammar , programming language , linguistics , mathematics , rule based machine translation , paleontology , philosophy , example based machine translation , biology , geometry
This article describes an approach to Lexical-Functional Grammar LFG generation that is based on the fact that the set of strings that an LFG grammar relates to a particular acyclic f-structure is a context-free language. We present an algorithm that produces for an arbitrary LFG grammar and an arbitrary acyclic input f-structure a context-free grammar describing exactly the set of strings that the given LFG grammar associates with that f-structure. The individual sentences are then available through a standard context-free generator operating on that grammar. The context-free grammar is constructed by specializing the context-free backbone of the LFG grammar for the given f-structure and serves as a compact representation of all generation results that the LFG grammar assigns to the input. This approach extends to other grammatical formalisms with explicit context-free backbones, such as PATR, and also to formalisms that permit a context-free skeleton to be extracted from richer specifications. It provides a general mathematical framework for understanding and improving the operation of a family of chart-based generation algorithms.

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