Computational Structure of GPSG Models: Revised Generalized Phrase Structure Grammar

Item

Title
en_US Computational Structure of GPSG Models: Revised Generalized Phrase Structure Grammar
Creator
en_US Ristad, Eric Sven
Date
2004-10-20T19:58:16Z
Date Available
2004-10-20T19:58:16Z
Date Issued
en_US 1989-09-01
Identifier
en_US AITR-1170
Abstract
en_US 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.
Extent
en_US 93 p.
10445845 bytes
3991998 bytes
Format
application/postscript
application/pdf
Language
en_US
Relation
en_US AITR-1170
Subject
en_US linguistics
en_US complexity
en_US GPSG
en_US natural language
en_US scomputational structure
en_US computational complexity