Dmitriy Bystrov
ABSTRACT
A natural language (NL) is any of the languages naturally used by humans, i.e. not an artificial such as programming languages. Natural language generation systems convert information from computer databases into normal-sounding human language and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. Natural language is basically a system for describing perceptions. In this paper we discuss use of fuzzy logic in natural language processing and computation, the general process of NLP as well as some common techniques used, computational linguistic, linguistic approximation.
- Zadeh L. A Toward a perception-based theory of probabilistic reasoning with imprecise probabilities J. Statist. Plann. Infer., vol 105, pp. 233--264, 2002Google Scholar
Cross Ref
- R.A. Aliev, B. Fazlollahi, R. R. Aliev Soft Computing and its Applications in Business and Ecoomics, 3pringer-Verlag Berlin Heidelberg 2004Google Scholar
- Zadeh L. A Test-score semantics for natural languages and meaning representation via PRUF, Empirical Semantics. Rieger B (eds) Germany: Brockmyer, pp. 198--211, 1981Google Scholar
- .Zadeh L. A (2000) From Computing with Numbers of Computing with Words-From Manipulation of Measurements to Manipulation of Perceptions. In: Hampel R, Wagenknecht M, Chaker N (eds) Fuzzy Control. Theory and Practice. Physica-Verlag. A Springer-Verlag Company, pp. 3--38Google Scholar
- Zhang Ch (1992) Cooperation Under Uncertainty in Distributed Expert Systems. J Artificial Intelligence 56: 21Google Scholar
- Ronald R. Yager, On the retranslation Process in Zadeh's Paradigm of the Computing With Words. IEEE Transactions on systems, man, and Cybernetics-Part B: Cybernetics, vol. 34, No. 2, April 2004.Google Scholar
- W. Bandler and L. Kohout Fuzzy power sets and fuzzy implication operators Fuzzy sets yst., vol 4, pp. 13--30, 1980Google Scholar
- Dubois D., Prade H. Possibility Theory: An Approach to Computerized Processing of Uncertainty. Plenum Press. New York. 1988.Google Scholar
- Wang J. A Fuzzy Project Scheduling Approach to Minimize Schedule for Product Development. Fuzzy Sets and Systems 127 (2002), pp. 99--116.Google ScholarDigital Library
- Zadeh L. A. A from computing with numbers to Computing with words-from manipulation of measurements to manipulation of perception. Wang P (eds)Computing with Word. John Wiley & Sons. Inc. pp. 35--67, 2001Google Scholar
Index Terms
- Fuzzy Systems for Computational Linguistics and Natural Language
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