DocumentCode :
2664003
Title :
Precisiated natural language (PNL) - toward an enlargement of the role of natural languages in computation, deduction, definition and decision
Author :
Zadeh, Lotfi A.
Author_Institution :
Dept. of Electr. & Electron. Comput. Sci.,, California Univ., Berkeley, CA, USA
fYear :
2003
fDate :
26-29 Oct. 2003
Firstpage :
3
Lastpage :
4
Abstract :
It is a deep-seated tradition in science to view the use of natural languages in scientific theories as a manifestation of mathematical immaturity. In particular, a direct consequence is that existing scientific theories do not have the capability to operate on perception-based information. Such information is usually described in a natural language and is intrinsically imprecise, reflecting a fundamental limitation on the cognitive ability of humans to resolve detail and store information. In this paper we describe that the high expressive power of natural languages is harnessed by constructing what is called a precisiated natural language (PNL). In essence, PNL is a subset of a natural language (NL) - a subset, which is equipped with constraint-centered semantics (CSNL) and is translatable into what is called the generalized constraint language (GCL).
Keywords :
constraint handling; grammars; natural languages; constraint-centered semantics; generalized constraint language; grammar; perception-based information; precisiated natural language; Computer science; Fuzzy logic; Humans; Laboratories; Natural languages; Robustness; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7902-0
Type :
conf
DOI :
10.1109/NLPKE.2003.1275858
Filename :
1275858
Link To Document :
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