Intellectual Property India Publishes Patent Application for System And Method For Context-Aware Language Modeling Using Integrated Gpt, Bert, And Lstm Networks.

MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611062790 A) filed by Maharishi Markandeshwar Deemed To Be University on May 18, 2026, for System And Method For Context-Aware Language Modeling Using Integrated Gpt, Bert, And Lstm Networks..

Inventors include Ritu Aggarwal; and Eshaan Aggarwal.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: SYSTEM AND METHOD FOR CONTEXT-AWARE LANGUAGE MODELING USING INTEGRATED GPT, BERT, AND LSTM NETWORKS. The present invention reviews Large Language Models (LLMs) and their applications in natural language processing tasks such as translation, text generation, and question answering. It focuses on transformer-based models like BERT and GPT, along with LSTM, and examines their performance using fine-tuning, few-shot learning, and reinforcement learning techniques. The work highlights applications in domains such as biomedical and agricultural text analysis, using datasets from sources like the Penn Treebank and web corpora. Data preprocessing methods, including noise removal and normalization, are applied to improve model performance. Evaluation is carried out using metrics such as accuracy, precision, and Cohen’s kappa. The study concludes that LLMs effectively capture complex language patterns and are useful for real-world applications, while also discussing challenges and future improvements.

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