Natural language interaction method and system for virtual robot
A virtual robot and natural language technology, applied in the field of natural language interaction and systems for virtual robots, to achieve the effects of flexible configuration and selection, flexible configuration, and flexible expansion
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[0059] combine figure 1 , the embodiment of a virtual robot-oriented natural language interaction method and system, based on automatic speech recognition (ASR) and text conversion output (TTS), understands the text information input by the user, and generates a corresponding response output.
[0060] The virtual robot-oriented natural language interaction method and system provided in the embodiment preloads the user dictionary and establishes and stores the instruction template set defined by the user. After receiving the natural language input by the user, the text content corresponding to the natural language is compared with the user Templates in the set of defined instruction templates are matched to determine user intent.
[0061] A natural language interaction method for virtual robots, comprising the following steps,
[0062] S1. Perform text preprocessing on the text information input by the user after automatic speech recognition processing, including Chinese word ...
Embodiment approach
[0096] When the natural language input cannot correctly determine its clear intention based on the user-defined instruction set template, it will call the open field chat in the background to respond to the user's request input. Such as image 3 As shown in , it is an explanatory schematic diagram of open domain chat, and the specific implementation method is as follows:
[0097] In step S33, the dialogue system interacts with the semantic analysis system through the message bus. After receiving the chat request from the semantic analysis module, the dialogue system will start the business logic to respond to the user's chat request, specifically:
[0098] S331. The dialog system will select and load the corresponding corpus according to the robot personalization parameters input by the user to generate a personalized response output;
[0099] S332. Perform text similarity calculation based on the corpus and user input information to match the corpus output of the dialogue sy...
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