Amazon technologies, inc. (20240354499). ROUTING NATURAL LANGUAGE COMMANDS TO THE APPROPRIATE APPLICATIONS simplified abstract
Contents
ROUTING NATURAL LANGUAGE COMMANDS TO THE APPROPRIATE APPLICATIONS
Organization Name
Inventor(s)
JEFFREY PENROD Adams of Tyngsborough MA (US)
ROUTING NATURAL LANGUAGE COMMANDS TO THE APPROPRIATE APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354499 titled 'ROUTING NATURAL LANGUAGE COMMANDS TO THE APPROPRIATE APPLICATIONS
Simplified Explanation:
The patent application describes a device with multiple applications that can respond to various commands based on natural language input. The correct application to receive a command is determined by matching the command with the functions of the applications and considering the likelihood of each application to receive a command based on context.
Key Features and Innovation:
- Device with multiple applications
- Natural language commands
- Selection of target application based on command fit and likelihood of receiving a command
- Voice input analyzed by speech recognition technology
Potential Applications: This technology could be applied in:
- Smart home devices
- Virtual assistants
- Mobile applications
Problems Solved:
- Efficient command processing
- Improved user experience
- Enhanced device functionality
Benefits:
- Faster response to commands
- Better user interaction
- Increased productivity
Commercial Applications: Potential commercial uses include:
- Voice-controlled devices
- Customer service applications
- Hands-free operation in various industries
Prior Art: Prior art related to this technology may include research on speech recognition technology, natural language processing, and command interpretation algorithms.
Frequently Updated Research: Research on improving speech recognition accuracy, enhancing natural language understanding, and optimizing command processing algorithms may be relevant to this technology.
Questions about Natural Language Command Recognition: 1. How does the technology determine the most suitable application to receive a command? 2. What are the potential challenges in accurately interpreting natural language commands?
Original Abstract Submitted
a device is configured with multiple applications that each respond to various commands. the correct application to receive a natural language command is identified by consideration of how well the command matches functions of the application. a target application to receive the command may additionally be selected by consideration of which application is most likely to receive a command. the likelihood of an application to receive a command may be determined by considering context. the command may be a voice input that is analyzed by speech recognition technology to determine word strings representing possible commands. thus, the selection of a target application to receive the command may be based on any or all of the word strings from the natural language input, a closeness of fit between the command and an application, and the likelihood an application is the target for the next incoming command.
