18185753. LANGUAGE PROCESSING FOR A VEHICLE simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
LANGUAGE PROCESSING FOR A VEHICLE
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Sasha Strelnikoff of Seattle WA (US)
Jiejun Xu of Diamond Bar CA (US)
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 18185753 titled 'LANGUAGE PROCESSING FOR A VEHICLE
Simplified Explanation: This patent application describes a method for language processing for a vehicle, involving receiving input text, determining rule-based and model-based action representations, parsing the text, and determining a final action representation.
Key Features and Innovation:
- Language processing method for vehicles
- Rule-based and model-based action representations
- Parsing of input text
- Final action representation based on rule-based and model-based actions
Potential Applications: This technology could be applied in autonomous vehicles, navigation systems, and voice-controlled interfaces in vehicles.
Problems Solved: This technology addresses the need for efficient language processing in vehicles to enable better communication and interaction with the vehicle systems.
Benefits: The benefits of this technology include improved user experience, enhanced safety features, and more seamless integration of voice commands in vehicles.
Commercial Applications: "Language Processing for Vehicles: Enhancing User Interaction and Safety in Automotive Systems"
Prior Art: Prior art related to this technology may include research on natural language processing in vehicles, voice recognition systems, and human-machine interfaces in automotive technology.
Frequently Updated Research: Researchers are continually exploring advancements in natural language processing for vehicles, including improved algorithms, enhanced voice recognition capabilities, and better integration with vehicle systems.
Questions about Language Processing for Vehicles: 1. How does this technology improve user experience in vehicles? 2. What are the potential challenges in implementing this language processing method in vehicles?
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.
