LANGUAGE PROCESSING FOR A VEHICLE

Organization Name

Inventor(s)

Alireza Esna Ashari Esfahani of Novi MI (US)

LANGUAGE PROCESSING FOR A VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240311566 titled 'LANGUAGE PROCESSING FOR A VEHICLE

The abstract describes a method for language processing for a vehicle, involving receiving an input text with multiple words, determining rule-based and model-based action representations, parsing the text, and determining a final action representation based on both.

Language processing method for vehicles
Receives input text with multiple words
Determines rule-based action representation
Parses the text to produce a parsed text
Determines model-based action representation
Combines rule-based and model-based representations for final action representation

Potential Applications: - Automated voice commands in vehicles - Natural language processing for in-car systems

Problems Solved: - Enhances communication between drivers and vehicles - Improves user experience with in-car technology

Benefits: - More efficient and accurate language processing - Enhanced usability of vehicle systems

Commercial Applications: Title: "Advanced Language Processing for Vehicles" This technology can be used in automotive infotainment systems, navigation systems, and voice-controlled features in vehicles. It can improve user interaction with in-car technology, leading to a more seamless and intuitive driving experience.

Questions about Language Processing for Vehicles: 1. How does this method improve the user experience in vehicles? This method enhances communication between drivers and vehicles, making interactions more efficient and user-friendly.

2. What are the potential applications of this technology beyond vehicles? This technology can also be applied in other industries such as smart home systems, customer service chatbots, and virtual assistants.

Original Abstract Submitted

a method for language processing for a vehicle includes receiving an input text. the input text includes a plurality of words. the method also includes determining a rule-based action representation of the input text, parsing the input text to produce a parsed text. the method also includes determining a model-based action representation of the parsed text. the method also includes determining a final action representation of the input text based at least in part on the rule-based action representation and the model-based action representation.