DocumentCode :
3063678
Title :
An intelligent parser that automatically generates semantic rules during syntactic and semantic analysis
Author :
Julia, Rita Maria da Silva ; Seabra, José Rodrigues ; Siqueira, Idméia Sameghini
Author_Institution :
IRIT, Univ. Paul Sabatier, Toulouse, France
Volume :
1
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
806
Abstract :
In this paper we propose a parser that performs syntactic and semantic analysis of assertions about software specification. These assertions are expressed in a restricted form of natural language (NL) related to space sciences. The parser corresponds to an applicative grammar that is built according to the structuralism theory. The grammar rules are defined in terms of Latin cases. The parser performs syntactic and semantic analysis simultaneously, as in Montague´s grammar. However, different from Montague´s ideas, here the linguist does not have to define as many lambda abstractions as syntactical categories. In fact, it has to define only lambda abstractions corresponding to the case and to the verb categories. Lambda abstractions corresponding to the other categories will be automatically generated during analysis. The process of parsing is guided by a heuristic method of artificial intelligence and it is executed according to some cohesion and coherence criterions
Keywords :
artificial intelligence; computational linguistics; formal specification; grammars; natural languages; Latin cases; applicative grammar; artificial intelligence; intelligent parser; lambda abstractions; natural language; semantic analysis; semantic rules; software specification; structuralism theory; syntactic analysis; Algebra; Artificial intelligence; Humans; Knowledge representation; Natural language processing; Natural languages; Topology; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.537864
Filename :
537864
Link To Document :
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