MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008350 A) filed by Dr. Laxmikant Kulkarni; Mallikarjunam; Dr. Kavita Harihar; K M Arunkumar; S. Jamuna Rani; and Shireen Taj, Ballari, Karnataka, on Jan. 28, for 'intelligent english vocabulary expansion engine using deep semantic mapping.'
Inventor(s) include Dr. Laxmikant Kulkarni; Mallikarjunam; Dr. Kavita Harihar; K M Arunkumar; S. Jamuna Rani; and Shireen Taj.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to an intelligent vocabulary expansion system that employs deep semantic mapping techniques to provide contextually relevant English vocabulary suggestions. The system addresses limitations of existing approaches by integrating transformer-based neural architectures with structured knowledge graph representations. The system comprises a User Input Module (101), Text Corpus Repository (102), External API Integration (103), Deep Semantic Mapping Engine (200), Natural Language Processing Unit (201), Contextual Embedding Module (301), Semantic Relation Mapper (302), Word Vector Analyzer (303), Knowledge Graph Interface (304), Vocabulary Expansion Output module (400), and Learning Adaptation Module (401). The Deep Semantic Mapping Engine employs a modified transformer architecture to generate contextual embeddings, while the Knowledge Graph Interface provides access to structured lexical relationships. The present invention ensures accurate and contextually appropriate vocabulary expansion through a multi-weighted relevance scoring function that combines contextual relevance, semantic similarity, frequency statistics, user proficiency level, and historical preferences. The Learning Adaptation Module enables continuous improvement through federated learning that incorporates user feedback while preserving privacy."
Disclaimer: Curated by HT Syndication.
