Jatin Sachdeva

Papers

Total Citations

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About

Jatin Sachdeva is a researcher whose work sits at the intersection of natural language processing and deep learning, with a particular focus on signboard transliteration. His most-cited paper, "Review of Signboard Transliteration Using Deep Learning" (2021), provides a comprehensive survey of techniques for converting text from signboards—often in non-Latin scripts—into readable, transliterated forms. This work addresses a critical challenge in multilingual environments, where automated systems must accurately interpret and transcribe real-world signage for applications in navigation, tourism, and accessibility. While his citation count remains modest, Sachdeva’s contribution lies in synthesizing and advancing methods that bridge visual text recognition and linguistic translation, a niche yet growing area of research. His review serves as a foundational resource for scholars exploring the intersection of computer vision and language processing, highlighting the complexities of handling diverse scripts, fonts, and contextual variations. By cataloging deep learning architectures and datasets, Sachdeva has helped define the current state of the art, offering a roadmap for future innovations in automated transliteration systems. His work underscores the importance of robust, real-world language technologies in an increasingly connected world.