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  5. Computational Structure of GPSG Models: Revised Generalized Phrase Structure Grammar

Computational Structure of GPSG Models: Revised Generalized Phrase Structure Grammar

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Author(s)
Ristad, Eric Sven
Date Issued
September 1, 1989
Series/Report no.
AITR-1170
Abstract
The primary goal of this report is to demonstrate how considerations from computational complexity theory can inform grammatical theorizing. To this end, generalized phrase structure grammar (GPSG) linguistic theory is revised so that its power more closely matches the limited ability of an ideal speaker--hearer: GPSG Recognition is EXP-POLY time hard, while Revised GPSG Recognition is NP-complete. A second goal is to provide a theoretical framework within which to better understand the wide range of existing GPSG models, embodied in formal definitions as well as in implemented computer programs. A grammar for English and an informal explanation of the GPSG/RGPSG syntactic features are included in appendices.
Subjects
linguistics
complexity
GPSG
natural language
scomputational structure
computational complexity
Persistent DSpace Link
http://hdl.handle.net/1721.1/6821
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