Artificial Neural Networks In Machine Linguistics

Abstract

Artificial neural networks (ANN) have revolutionized natural language processing (NLP) and have fundamentally changed the approach to solving linguistic problems. Due to their ability to learn from large amounts of data, ANN demonstrate high performance in tasks such as machine translation, emotion analysis, speech recognition, text generation, etc. In addition, ANNs have become a key tool in solving complex linguistic problems due to their ability to learn from large amounts of data, generalize information, and deep understanding of context. The purpose of this article is to analyze the current state of ANN use in linguistics, review the main architectures and technologies, and discuss the challenges and prospects for further development.