MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621051705 A) filed by Satyashil Yuvraj Kolekar; Pavan Mane; Dr. Sujata Pandurang Solage; Dr. Jagannath Ware; and Ms. Kushawarta Shivnath Bhagwat on April 23, 2026, for A System And A Method For Intelligent English Language Learning With Contextual Grammar Correction, Neuro-Adaptive Feedback, And Multi-Modal Vocabulary Expansion.
Inventors include Satyashil Yuvraj Kolekar; Pavan Mane; Dr. Sujata Pandurang Solage; Dr. Jagannath Ware; and Ms. Kushawarta Shivnath Bhagwat.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT A SYSTEM AND A METHOD FOR INTELLIGENT ENGLISH LANGUAGE LEARNING WITH CONTEXTUAL GRAMMAR CORRECTION, NEURO-ADAPTIVE FEEDBACK, AND MULTI-MODAL VOCABULARY EXPANSION This disclosure is about a system and method that makes it possible to learn English in a smart way by correcting grammar in context, giving neuro-adaptive feedback, and expanding vocabulary in a dynamic way. The system has a processor, memory, transceiver, and input/output interface that can take in text, speech, and contextual metadata as input. The processor runs a contextual semantic parsing engine to make multi-layer linguistic representations and a dynamic grammar correction engine to find and fix errors that depend on the context. A neuro- adaptive learning module looks at how users interact with each other to customize feedback and make learning harder or easier. A contextual vocabulary expansion engine makes suggestions that make sense in context, and an explainable reasoning module gives outputs that can be understood. The system also uses an edge-based adaptive processing unit to lower latency and improve privacy, as well as a learning retention engine to make things better over time. The invention described here offers better accuracy, efficiency, and personalized language learning through real-time adaptive processing.
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