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April 18, 20246 citations

Enhancing Text Quality with Bi-LSTM: An Approach for Automated Spelling and Grammar Correction

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HLHrushikesh A. LokhandeLKLalit J. KinagePKPrerana M. Kolunkar

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Abstract

Spell checkers are crucial in various fields, ensuring error-free documents and clear communication. Many applications use traditional approaches, like Google and Microsoft Word. A unique model using Deep Learning for spell and grammar checkers uses Bi-LSTM for error detection and Bi-LSTM for error correction. Auto spelling and grammar correction tools are essential in today's world, providing a faster, reliable alternative to manual proofreading, enhanced productivity, improved language proficiency, and increased confidence in written communication. They cater to diverse language needs and contribute to the quality and professionalism of written content.

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Cite This Study

Lokhande et al. (2024) studied this question.

synapsesocial.com/papers/68e6eab8b6db643587665911https://doi.org/10.1109/adics58448.2024.10533521
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