Intelligent System for Generating Meaningful Poetic Text
摘要
Abstract
The study discusses modern approaches to generating poetic text. It carries out a comparative analysis of various language models and proposes and implements the architecture of natural language processing—a pipeline for the automatic generation of meaningful poetic text on the basis of a language model, genetic algorithm, and classifier of semantic text coherence.