Laungai: A Real-Time Intelligent Writing Companion for Multilingual Text Correction, Fluency Enhancement and Predictive Composition

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Authors: Ajay A, Joseph Jenis J, Kaviarasan T, Sion Raj R, Mrs.S.Bavithra
Cited by: 0

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