10 Applications of Artificial Neural Networks in Natural Language Processing

Since artificial neural networks allow modeling of nonlinear processes, they have turned into a very popular and useful tool for solving many problems such as classification, clustering, regression, pattern recognition, dimension reduction, structured prediction, machine translation, anomaly detection, decision making, visualization, computer vision, and others. This wide range of abilities makes it possible to use artificial neural networks in many areas. In this article, we discuss applications of artificial neural networks in Natural Language Processing tasks (NLP). NLP includes a wide set of syntax, semantics, discourse, and speech tasks. We will describe prime tasks in which neural networks demonstrated state-of-the-art performance.