Metaheuristics for linguistic optimization in the shiva era

Abstract

The article considers the possibilities of applying metaheuristic optimization methods in modern linguistics under the conditions of the SHIVA world. The main metaheuristic algorithms and their use in natural language processing, language model optimization, machine translation, and big text data analysis are analyzed. The advantages of integrating metaheuristic methods with artificial intelligence and machine learning technologies to increase the efficiency of digital linguistic research are substantiated.