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Transition Network Grammars for Natural Language Analysis.

Authors :
Woods, W. A.
Bobrow, D. G.
Source :
Communications of the ACM. Oct70, Vol. 13 Issue 10, p591-606. 16p.
Publication Year :
1970

Abstract

The use of augmented transition network grammars for the analysis of natural language sentences is described. Structure-building actions associated with the arcs of the grammar network allow for the reordering, restructuring, and copying of constituents necessary to produce deep-structure representations of the type normally obtained from a transformational analysis, and conditions on the arcs allow for a powerful selectivity which can rule out meaningless analyses and take advantage of semantic information to guide the parsing. The advantages of this model for natural language analysis are discussed in detail and illustrated by examples. An implementation of an experimental parsing system for transition network grammars is briefly described. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00010782
Volume :
13
Issue :
10
Database :
Academic Search Index
Journal :
Communications of the ACM
Publication Type :
Periodical
Accession number :
5221532
Full Text :
https://doi.org/10.1145/355598.362773