Compressed Language to Natural Language Conversion
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Solution Overview
Problem
Computing systems display forms with fields represented in compressed language that users may not understand, making it difficult for users to comprehend the meaning of these fields.
Innovation Solution
A method and system that convert compressed language elements from structured documents into natural language strings, using tokenization, cognate identification, and corpus language models to generate understandable name strings for display to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If compressed language is used for form fields, then data processing efficiency is improved, but user understanding is worsened
Solution Approach 1:
The patent introduces an intermediary translation layer that converts compressed language field names into natural language descriptions. The system includes a translation module that receives compressed language input, processes it through language models, and outputs user-friendly natural language descriptions, thereby mediating between efficient data processing and user comprehension
2Device complexity
If compressed language elements are used, then system complexity is reduced, but information clarity is worsened
Solution Approach 1:
The patent segments the information presentation into two distinct layers: compressed language for system processing and natural language for user display. The system separates data storage in compressed format from information presentation in expanded format, allowing simple system structure while maintaining clear information delivery through the translation layer
Data Source
AI summary
A method converts from compressed language to natural language. The method includes receiving an element string. The element string is in a compressed language format and is extracted from a document in a structured document language. The method includes tokenizing the element string to form multiple element tokens, generating a token set from the element tokens, and generating a name string from multiple token sets. The name string is in a natural language format.