AWS Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Amazon Lex enables any developer to build conversational bots quickly without deep learning expertise. To create a bot, you specify the basic conversation flow in the Amazon Lex console. Amazon Lex V2 manages the dialog and dynamically adjusts the responses in the conversation. Using the console, you can build, test, and publish your text or voice chatbot. You can then add conversational interfaces to bots on mobile devices and web applications.
Bots can have conditional branching to control the conversation flow and create complex conversations.
Amazon Lex guides you through using the console to create your bot in minutes. You supply a few example phrases, and Amazon Lex builds a complete natural language model through which the bot can interact using voice and text to ask questions, get answers, and complete sophisticated tasks.
Amazon Lex provides ASR and NLU technologies to create a Speech Language Understanding (SLU) system. Through SLU, Amazon Lex takes natural language speech and text input, understands the intent behind the input, and fulfills the user intent by invoking the appropriate business function.
Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex puts deep learning technologies within reach of all developers. Amazon Lex bots convert incoming speech to text and understand the user intent to generate an intelligent response so you can focus on building your bots with added value for your customers and define entirely new categories of products made possible through conversational interfaces.