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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47810
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
This paper introduces a web-based English- to-Hindi translation system designed to enhance translation accuracy for government and official documents. The system integrates multiple translation functionalities, including direct text translation, document translation (PDF, images, and text files), website content translation, and translation history management. By leveraging the Google Translate API along with a custom terminology dictionary, it ensures precise translations tailored to government-specific language. The system is built using the Flask framework with an SQLite database for efficient history tracking and incorporates Optical Character Recognition (OCR) for translating image-based text. The methodology involves data preprocessing, text extraction, API-based translation, and accuracy evaluation. Users can interact with an intuitive web interface to translate text, upload documents, and retrieve past translations. With a focus on usability and linguistic accuracy, this system demonstrates the effective integration of machine translation with domain-specific linguistic resources, contributing to improved translation quality in specialized fields.
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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