Laungai: A Real-Time Intelligent Writing Companion for Multilingual Text Correction, Fluency Enhancement and Predictive Composition
Abstract
Effective writing in digital environments demands correctness, clarity, and fluency across multiple languages. This manuscript presents Laungai, an AI-driven writing companion that performs real-time spelling correction, grammatical refinement, semantic rephrasing, predictive next-token suggestion, and contextual word meaning support for English, Tamil, and Hindi. The system integrates probabilistic language modeling [1], [2], sequence tagging, contextual scoring, and latency-aware inference. A multi-stage pipeline is proposed to reduce over-correction while preserving author intent. Experimental evaluation demonstrates strong performance in correction accuracy, suggestion relevance, and response time suitable for interactive typing scenarios.
Fields of Study & Subjects
Natural Language Processing Techniques
Topic Modeling
Speech and dialogue systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN