Google llc (20240242716). INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING simplified abstract

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INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING

Organization Name

google llc

Inventor(s)

Quazi Hussain of Mountain View CA (US)

Adam Coimbra of Los Altos CA (US)

Ilya Firman of Sunnyvale CA (US)

INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240242716 titled 'INTERFACING WITH APPLICATIONS VIA DYNAMICALLY UPDATING NATURAL LANGUAGE PROCESSING

Simplified Explanation

The patent application describes a system that can interact with applications using natural language processing. The system can identify applications, modify its processing techniques based on the application's function, and input data into applications based on user input.

  • The system processes input audio signals to identify and activate applications.
  • It modifies its natural language processing technique based on the function declared by the application.
  • The system detects parameters from input audio signals and inputs them into the application.
  • It generates an action data structure for the application to execute.

Key Features and Innovation

  • Dynamic interfacing with applications using natural language processing.
  • Modification of processing techniques based on application functions.
  • Inputting data into applications based on user input parameters.

Potential Applications

The technology can be used in various applications such as voice-controlled assistants, smart home devices, and hands-free operation of software applications.

Problems Solved

The system simplifies the interaction with applications by using natural language processing to input data and execute actions based on user input.

Benefits

  • Improved user experience with applications.
  • Hands-free operation of software.
  • Efficient and intuitive interaction with technology.

Commercial Applications

  • Voice-controlled assistants for homes and businesses.
  • Smart home devices for automation and convenience.
  • Software applications for hands-free operation and accessibility.

Prior Art

There may be prior art related to natural language processing techniques for interacting with applications. Researchers can explore existing patents and publications in this field.

Frequently Updated Research

Researchers are constantly exploring advancements in natural language processing and its applications in human-computer interaction. Stay updated on the latest research in this field for potential improvements and innovations.

Questions about Natural Language Processing

How does natural language processing improve user interaction with applications?

Natural language processing allows users to interact with applications using spoken language, making the interaction more intuitive and user-friendly.

What are the potential challenges of implementing natural language processing in applications?

Challenges may include accurately interpreting user input, handling different accents and languages, and ensuring privacy and security of user data.


Original Abstract Submitted

dynamic interfacing with applications is provided. for example, a system receives a first input audio signal. the system processes, via a natural language processing technique, the first input audio signal to identify an application. the system activates the application for execution on the client computing device. the application declares a function the application is configured to perform. the system modifies the natural language processing technique responsive to the function declared by the application. the system receives a second input audio signal. the system processes, via the modified natural language processing technique, the second input audio signal to detect one or more parameters. the system determines that the one or more parameters are compatible for input into an input field of the application. the system generates an action data structure for the application. the system inputs the action data structure into the application, which executes the action data structure.

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