Fuzzy Modeling and Natural Language Processing for Panini's Sanskrit Grammar
P. Venkata Subba Reddy
TL;DR
This paper introduces fuzzy logic techniques to handle uncertainty in Panini's Sanskrit grammar, enabling better computational processing of Sanskrit language rules.
Contribution
It applies fuzzy modeling and reasoning to Sanskrit grammar, addressing the challenge of uncertainty in Panini's rules for improved language processing.
Findings
Fuzzy logic effectively manages uncertainty in Sanskrit grammar rules.
Proposed method enhances computational processing of Sanskrit language.
Demonstrates applicability of fuzzy reasoning in linguistic rule systems.
Abstract
Indian languages have long history in World Natural languages. Panini was the first to define Grammar for Sanskrit language with about 4000 rules in fifth century. These rules contain uncertainty information. It is not possible to Computer processing of Sanskrit language with uncertain information. In this paper, fuzzy logic and fuzzy reasoning are proposed to deal to eliminate uncertain information for reasoning with Sanskrit grammar. The Sanskrit language processing is also discussed in this paper.
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Taxonomy
TopicsAdvanced Algebra and Logic · Rough Sets and Fuzzy Logic · Natural Language Processing Techniques