Artificial neural networks in modern paleography

Abstract

Artificial neural networks in modern philology provide effective recognition, classification and analysis of texts, allowing to accelerate research processes and reduce the burden on specialists. They help to reveal hidden patterns in speech and styles, classify texts according to various criteria and analyze large amounts of information. Thus, the integration of ANNs into philological research increases the accuracy, scalability and efficiency of text analysis, opens up opportunities for the creation of digital corpora, automation of scientific processes and in-depth study of linguistic and literary heritage. Artificial neural networks are becoming a key tool for the modernization of philological science and intellectual analysis of texts.