Natural Language App Generation via Semantic Parsing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for creating data-driven apps require programming languages like Java, limiting accessibility to developers without coding expertise and increasing the complexity of app development and deployment.
Innovation Solution
A system and method that uses natural language processing to generate and modify data-driven apps by translating high-level, semantically dense app specifications into executable code, allowing users to describe app functionalities in human language, which are then automatically converted into viable apps without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If programming languages like Java are used to create data-driven apps, then the apps can be developed with full functionality and control, but the complexity of app development increases and accessibility is limited to developers with coding expertise
Solution Approach 1:
The patent introduces a natural language processing system as an intermediary between the user and the app development process. Users describe app requirements in natural language, and the system automatically translates these descriptions into functional apps, eliminating the need for users to directly interact with complex programming languages while still achieving full app functionality
Solution Approach 2:
The patent replaces the mechanical system of manual code writing and compilation with an automated natural language processing system. Instead of users manually writing Java code, configuring build systems, and deploying apps through complex toolchains, the system automatically processes natural language input and generates the complete app development pipeline
2Adaptability or versatility
If natural language processing is used to generate apps automatically, then accessibility is improved and complexity is reduced, but the system requires advanced AI capabilities and processing power
Solution Approach 1:
The patent creates a universal natural language processing system that can handle multiple types of app development tasks through a single interface. The same system processes various natural language inputs, generates different types of data-driven apps, and manages the complete development lifecycle, making the complex AI capabilities accessible through a simple, universal interface
Solution Approach 2:
The system performs self-service by automatically translating natural language descriptions into complete app implementations without requiring external intervention. The AI system independently parses user input, generates appropriate code, configures app parameters, and prepares the app for deployment, hiding the complexity of these operations from the user
Data Source
AI summary
A computer-implemented method includes receiving audio data corresponding to a spoken statement by a user and converting the audio data into a meaning representation of the natural language description for creating the application. The spoken statement includes a natural language description for creating an application. Moreover, the meaning representation includes one or more inferences made from the natural language description for creating the application. The method further includes publishing a functional version of the application based on the natural language description. The functional version of the application is executable to perform operations specified by the natural language description of the application.