METHODS FOR CREATING USER INTERFACES IN NATURAL LANGUAGE

This paper discusses methods and technologies for creating user interfaces in natural language. In the context of modern technological development, user interfaces play an important role in human interaction with computer programs and devices, which determines their simplicity, efficiency and overall user experience. The idea of an NLP-based user interface is based on the use of natural language processing (NLP) algorithms, machine learning and artificial intelligence. The research discussed methods for creating such interfaces, their advantages and limitations, as well as prospects for further development. Analysis of TTI platforms such as Google Dialogflow, Microsoft Bot Framework, Wit.ai , IBM Watson Assistant and Amazon Lex, showed their important role in the development of user-friendly interfaces. The Methods and Materials section discusses existing methods for creating user interfaces in natural language, including speech recognition and synthesis systems, machine learning algorithms, as well as morphological, syntactic and semantic analysis. These approaches allow for a deeper understanding of user requests and provide more accurate answers.