MUMBAI, India, July 31 -- Intellectual Property India has published a patent application (202411102635 A) filed by Lovely Professional University on December 24, 2024, for Identification And Classification Of Indian Chronicles Using Machine Learning Techniques.
Inventors include Dr. Irfan Ahmad Pindoo; Dr. Parkash Tanwar; and Dr. Santosh Kumar Yadav.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention discloses a system and method for the automated detection and classification of Indian chronicles using advanced machine learning and natural language processing (NLP) techniques. The system addresses the unique linguistic, thematic, and contextual challenges associated with Indian historical texts. Key components include a data acquisition module for gathering and preprocessing multi-language sources, a feature extraction module that identifies culturally significant markers, and a named entity recognition (NER) sub-module trained on Indian historical data. The classification engine employs a hybrid model integrating traditional and deep learning approaches, accurately categorizing chronicles by period, region, or thematic content. Additionally, a chronicle detection module differentiates chronicles from non-historical texts, while an OCR module enables processing of scanned manuscripts. A historical contextualization layer categorizes documents within relevant historical frameworks. A reinforcement learning mechanism and user interface facilitate continuous improvement through feedback, making the system adaptable and scalable for historical research and digital archiving.
Disclaimer: Curated by HT Syndication.
