Semantic Model for Fragment of Hindi (Part 1)

Vivek Tripathi^1*  & Dinesh Rathod^{2  
1}Research Scholar, Indian Institute of Technology (BHU) Varanasi. *Corresponding author.
²Research Scholar, Indian Institute of Science,

^{Rupkatha Journal, Vol. 16, Issue 1, 2024. https://doi.org/10.21659/rupkatha.v16n1.03g
[Article History: Received: 26 November 2023. Revised: 10 February 2024. Accepted: 11 February 2024. Published: 12 February 2024]
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Abstract

This paper proposes a formal model for syntactic and semantic analysis for the Hindi language using context-free grammar. In this paper, we developed a syntactic parser that generates syntactic trees for Hindi sentences based on rules of propositional logic, and gender conventions. The context-free rules we have written follow a top-down approach with a sentence that goes on self-arrangement. A set of experiments were run based on the corpus we have created, and significant results are presented in this paper. In addition to the above, the model characterizes lexical items in terms of individuals and sets for the syntactic distribution for well-formed formulas.

Keywords: Natural Languages Processing. Hindi Language Processing. Parser. Context-Free Grammar. Parse Tree. Context-Free Rules for Hindi. Montague Grammar. Look Ahead LR Parser.

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Citation: Tripathi, V. & Rathod, D. (2024). Semantic Model for Fragment of Hindi (Part 1). Rupkatha Journal 16:1. https://doi.org/10.21659/rupkatha.v16n1.03g