Natural Language to Precise Syntax Translation for Programming
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Solution Overview
Problem
Software programming requires precise syntax, which can be burdensome for novice programmers and time-consuming for experienced programmers to learn, especially when dealing with unfamiliar functions, and existing systems lack efficient methods for converting natural language inputs into precise syntax.
Innovation Solution
A system and method that enables the generation of instructions in precise syntax using natural language input, where user input is processed to determine if it is in precise syntax or not, and if not, an API call is sent to a natural language processing system to convert it into precise syntax, allowing the software development application to evaluate the instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language input is used for programming, then ease of operation is improved, but manufacturing precision deteriorates because natural language lacks the precise syntax required by compilers and interpreters
Solution Approach 1:
The patent introduces an intermediary system that translates natural language input into precise programming syntax. This intermediary acts as a bridge between the user's natural language and the compiler/interpreter's requirement for precise syntax, allowing users to program in natural language while maintaining the precision needed for correct code generation.
2Manufacturing precision
If precise syntax is required for programming, then manufacturing precision is improved, but ease of operation deteriorates because learning and using precise syntax is burdensome and time-consuming
Solution Approach 1:
The patent replaces the mechanical process of manually learning and typing precise syntax with an automated translation system. Instead of requiring users to memorize and correctly type complex syntax rules, the system automatically converts their natural language input into the required precise syntax, eliminating the burden of syntax learning while maintaining precision.
3Ease of operation
If natural language processing is implemented to convert user input to precise syntax, then ease of operation is improved, but device complexity increases due to the need for NLP systems and API calls
Solution Approach 1:
The patent makes the programming system universal by integrating multiple functions: it can accept both natural language and traditional precise syntax input, automatically detect the input type, and route it through appropriate processing paths. This multi-functionality allows the system to handle diverse input formats while maintaining a unified output format, justifying the added complexity through enhanced versatility.
Data Source
AI summary
A method facilitates development of instructions in a precise syntax, such as built-in functions of a computational system such as a spreadsheet application, using natural language (NL) input. A user may enter NL input in a workspace. An NL processing system may process the NL input to generate instruction(s) in a precise syntax that corresponds to the NL input. The instruction(s) in the precise syntax then may be included in the workspace.