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AUTOMATED ENGLISH GRAMMAR CORRECTION AND ENHANCEMENT SYSTEM USING DEEP LEARNING TECHNIQUES
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 29 October 2024
Abstract
The "Automated English Grammar Correction and Enhancement System Using Deep Learning Techniques" is an advanced solution designed to improve English text quality through precise grammar correction and stylistic enhancements. Utilizing state-of-the-art transformer-based deep learning models, the system identifies and corrects grammatical errors such as subject-verb agreement and punctuation issues, while also suggesting improvements for readability, clarity, and writing style based on user-defined preferences. With a user-friendly interface that allows real-time interaction and feedback, the system adapts to individual writing styles over time. It supports batch processing for high-volume content and offers an API for integration into third-party applications, making it a versatile tool for students, professionals, and content creators seeking to enhance their written communication.
Patent Information
Application ID | 202441082511 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 29/10/2024 |
Publication Number | 45/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. D. Sudhakar Reddy | Associate Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Dr. Vemula Ashok Kumar | Assistant Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Katta Jan Reddy | Assistant Professor, Keshav Memorial Engineering College, Parvathapur, Peerzadiguda, Hyderabad, Pin: 500039, Telangana, India. | India | India |
Dr. K. Velmurugan | Assistant Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Aruna Paladi | Assistant Professor, Department of English, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Ms. Priyanka Reddy | Assistant Professor, Department of English, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr. D. Sudhakar Reddy | Associate Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Dr. Vemula Ashok Kumar | Assistant Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Katta Jan Reddy | Assistant Professor, Keshav Memorial Engineering College, Parvathapur, Peerzadiguda, Hyderabad, Pin: 500039, Telangana, India. | India | India |
Dr. K. Velmurugan | Assistant Professor, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Aruna Paladi | Assistant Professor, Department of English, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Ms. Priyanka Reddy | Assistant Professor, Department of English, Anurag University, Venkatapur, Ghatkesar Rd, Hyderabad, Pin: 500088, Telangana, India. | India | India |
Specification
Description:The embodiments of the present invention generally relates to automated systems for enhancing English grammar and overall text quality using advanced deep learning techniques. Specifically, it pertains to a system that automatically detects grammatical errors, syntactic inconsistencies, and areas for improvement in written text, providing real-time correction and enhancement capabilities. The invention is applicable across various fields where clear and accurate written communication is essential, including educational, professional, and creative sectors, thereby facilitating improved language quality and user productivity.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with r , Claims:1. An automated English grammar correction and enhancement system comprising:
a deep learning-based grammar correction module configured to analyze input text for grammatical errors, including but not limited to subject-verb agreement, punctuation errors, and tense inconsistencies;
a text enhancement module designed to suggest improvements to the input text for readability, clarity, and stylistic coherence based on user-defined preferences;
a user interface that allows users to input text, view suggestions, and interactively accept or reject corrections;
a feedback mechanism that captures user interactions and preferences to continuously improve the accuracy and relevance of the corrections and enhancements provided by the system.
2. The system of claim 1, wherein the deep learning-based grammar correction module utilizes transformer architecture to process the input text.
3. The system of claim 1, wherein the text enhancement module provides suggestions for improving vocabulary usage, sentence structure, a
Documents
Name | Date |
---|---|
202441082511-COMPLETE SPECIFICATION [29-10-2024(online)].pdf | 29/10/2024 |
202441082511-DECLARATION OF INVENTORSHIP (FORM 5) [29-10-2024(online)].pdf | 29/10/2024 |
202441082511-DRAWINGS [29-10-2024(online)].pdf | 29/10/2024 |
202441082511-FORM 1 [29-10-2024(online)].pdf | 29/10/2024 |
202441082511-FORM-9 [29-10-2024(online)].pdf | 29/10/2024 |
202441082511-REQUEST FOR EARLY PUBLICATION(FORM-9) [29-10-2024(online)].pdf | 29/10/2024 |
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