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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53665

Language Analyzer: AI-Based Marathi Grammar Correction Using Hybrid Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53665

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53665

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AP

Ashwini Pijdurkar1

SS

Samarth Sabale2

KY

Krushna Yeole3

IS

Imam Shaikh4

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Abstract

This study highlights the inadequacies of the digital tools currently available for Marathi grammar correction and offers a fresh approach to improve their accuracy. A comparative analysis was conducted using a sample Marathi paragraph that contained intentional grammatical errors. Popular AI tools like ChatGPT, Gemini, Copilot, and Perplexity were used to process the paragraph. Accuracy and fluency tests were used to gauge their level of proficiency with Marathi text. Performance varied, according to the results, with ChatGPT scoring the highest at 95.72%, Copilot coming in second at 90.18%, and Gemini and Perplexity at 90.90%. Despite these positive results, the tools handling of complex grammatical structures, including verb conjugations, gender agreement, and Marathi-specific contextual nuances, was woefully inadequate.To address these problems, this study proposes a specialized Marathi Grammar Correction Tool that incorporates more intricate linguistic rules and context-aware mechanisms. By combining rule-based features with state-of-the-art deep learning architectures, the proposed system aims to increase accuracy, provide insightful feedback, and enable the effective use of Marathi in literature, education, and digital communication.

KEYWORDS

Deep Learning Sentence Correction NLP Marathi Grammar correction Educational Language Analyzer.

Cite This Article

Ashwini Pijdurkar1, Samarth Sabale2, Krushna Yeole3, Imam Shaikh4, "Language Analyzer: AI-Based Marathi Grammar Correction Using Hybrid Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53665

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Publication Date

10/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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