Placeholder-Based Sentence Adjustment for Accurate Preposition Insertion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing natural language generation technologies require significant computing resources and are complex, making them unsuitable for resource-sensitive applications, and struggle to ensure readability and accuracy without excessive resource consumption.
Innovation Solution
The method involves adding prepositions to natural language sentences based on placeholder positions and types to improve readability and accuracy, and converting these sentences into low-code representations for efficient workflow execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing natural language generation technologies are used to generate understandable text, then the readability and accuracy of generated sentences can be improved, but the computing resources required and system complexity increase significantly
Solution Approach 1:
The patent segments the natural language generation process into distinct components: identifying sentence constituents (subject, predicate, object, adverbial, complement), determining their positions, and selectively adding prepositions based on specific grammatical patterns. This segmentation allows each component to be processed independently with simple rules rather than requiring complex holistic NLP models.
Solution Approach 2:
The patent changes the approach from using complex AI models to using configurable parameters such as placeholder type attributes and position attributes. By adjusting these parameters and applying corresponding preposition addition rules, the system achieves reliable sentence generation with controlled computational resources.
2Manufacturing precision
If complex natural language generation models are deployed to ensure sentence accuracy, then the quality of generated text improves, but the ease of operation and resource efficiency deteriorate
Solution Approach 1:
The system automatically identifies sentence constituents and determines their positions without requiring manual intervention or complex model inference. The placeholder elements self-identify their types and positions, and the system automatically adds appropriate prepositions based on these attributes, achieving high accuracy through automated rule-based processing rather than resource-intensive modeling.
Solution Approach 2:
The patent uses configurable parameters (placeholder type attributes, position attributes) to control sentence structure and preposition addition. This parameter-based approach allows easy adjustment and operation while maintaining sentence accuracy, avoiding the need for complex model deployment and tuning.
Data Source
AI summary
Embodiments of this application disclose a method and an apparatus for adjusting a natural language sentence, and a storage medium. The method includes: receiving a natural language sentence including a placeholder, where the placeholder includes a type attribute, and the placeholder is occupied by a sentence constituent matching the type attribute; determining a position of the placeholder in the natural language sentence; and adding a preposition to the natural language sentence based on the type attribute of the placeholder and the position of the placeholder in the natural language sentence. The preposition is automatically added to the natural language sentence through the placeholder, so that readability and accuracy of the natural language sentence can be improved. In addition, when a word order of the natural language sentence is adjusted, the preposition is automatically updated correspondingly, which ensures the readability and the accuracy of the sentence.