Language translation tool to convert English to Hindi for the government website officially

Abstract 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: machine translation, English-Hindi, government documents, lightweight NLP, resource-constrained computing, phrase-based translation