MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641047877 A) filed by Ms. Bodedda Reecha; Mrs. Shaik Shaheena Banu; Ms. K. P. Vilaasini; Dr. Zeenat Taher; Dr. Hema Jagadish; and Dr. Joy Elvine Martis, Anakapalle, Andhra Pradesh, on April 15, for 'ai-driven linguistic evaluation framework employing graph algorithms for skill assessment.'
Inventor(s) include Ms. Bodedda Reecha; Mrs. Shaik Shaheena Banu; Ms. K. P. Vilaasini; Dr. Zeenat Taher; Dr. Hema Jagadish; and Dr. Joy Elvine Martis.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven linguistic evaluation framework designed to assess language proficiency using advanced computational techniques. The system integrates methodologies from Artificial Intelligence, Natural Language Processing, and Machine Learning to analyze linguistic input across syntactic, semantic, and contextual dimensions. It employs Graph Theory to model language as an interconnected structure, enabling the identification of relationships between linguistic elements for enhanced evaluation accuracy. The framework generates composite scores based on graph-based metrics and provides real-time, interpretable feedback to users. Additionally, the system supports multilingual inputs, adaptive learning, and scalable processing for large datasets. By combining structural analysis with intelligent algorithms, the invention delivers a robust, transparent, and efficient solution for automated linguistic skill assessment in educational, professional, and analytical applications."
Disclaimer: Curated by HT Syndication.
