Research of the Amazon Lex V2 natural language recognition system

Abstract

In modern realities, systems with text and voice recognition are increasingly used, because the process of interaction with a person is increasingly automated. Human speech recognition technology is fundamental to the development of artificial intelligence. Systems that are built on this technology have the ability to solve a fairly large number of tasks related to data analysis, information search, and fulfillment of user requests. Voice assistants, smart home systems (such as Amazon Alexa or Google Assistant) are popular and quite common solutions for systems with NLP (Natural Language Processing). The study of this technology and the analysis of its integration in cloud environments provides an opportunity to independently use its features as automated assistants, or, for example, as part of an already existing intelligent system. The NLP core of the Amazon Lex V2 service provides an opportunity to deploy a self-configured chatbot on a given topic, therefore, from the point of view of development and research, it attracts the attention of developers and analysts. But, before that, many questions arise regarding its possibilities and limitations, which the integrator of this service will face.