Methodological bases of innovative information systems in the field of computer linguistics

Abstract

Abstract. Innovative information systems are crucial for managing data, blending traditional methods with modern AI, machine learning, and deep learning. These systems are built on a modular, systematic approach, ensuring flexibility. In computational linguistics, these systems automate natural language processing. They use hybrid models, combining rules with neural networks, and leverage transformers and large language models for better context analysis. Verification and quality assessment are essential for reliability. These systems are vital for applications like chatbots, machine translation, and text analysis.