UID:
almafu_9960119728402883
Format:
1 online resource (xii, 214 pages) :
,
digital, PDF file(s).
ISBN:
0-511-87387-5
,
0-511-66564-4
Series Statement:
Studies in natural language processing
Content:
This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry Patten demonstrates that systemic grammar can be easily and automatically translated into current AI knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems. Thus the fundamental methodological problem of interfacing specialized computational representations with equally specialized linguistic representations can be resolved. The study provides a detailed discussion of a substantial implementation involving a relatively large systemic grammar, and a formal model of the method. It represents a fundamental and productive contribution to the literature on text generation.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
English
Additional Edition:
ISBN 0-521-03926-6
Additional Edition:
ISBN 0-521-35076-X
Language:
English
URL:
Volltext
(lizenzpflichtig)
URL:
https://doi.org/10.1017/CBO9780511665646
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