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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM34904
Volume:
8 |
5 |
May 2024
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 research paper presents a lightweight, customizable English-to-Hindi translation system specifically designed for government documents. Unlike traditional neural machine translation systems that require substantial computational resources, our approach leverages statistical phrase-based methods and dictionary-based translation to create a solution that can be easily deployed on standard hardware while maintaining acceptable translation quality for bureaucratic language. The system is trained on domain-specific data consisting of 70 government document samples and demonstrates satisfactory performance for formal translation tasks. We present the implementation details and evaluation results and discuss the trade-offs between computational efficiency and translation quality. The proposed solution offers a viable alternative to API-dependent services, particularly in environments with limited computational resources or internet connectivity constraints.
KEYWORDS
Publication Date
12/31/45790
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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