Effective machine learning in linguistics

Abstract

Machine learning (ML) in modern linguistics is extremely relevant and effective due to its ability to automate complex processes of natural language processing, text analysis, and linguistic data processing. Modern language models and machine learning algorithms are able to perform tasks that previously required significant human resources or were difficult to achieve. Machine learning is critical to modern linguistics, as it allows automating the processing of linguistic data, greatly increasing the efficiency and accuracy of linguistic research and practical applications. Its relevance lies in the need to process large volumes of textual information, and efficiency is ensured by the speed and adaptability of algorithms. The future of machine learning in linguistics is closely related to the development of computational methods, access to qualitative data, and the development of new models to better understand language.