Text Chain Generation for Enriched Phrase Corpus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for generating phrases from text databases are limited in extracting words and often produce linguistically illogical results due to the neural-network-model-based generation, requiring more training and failing to efficiently enrich phrase corpus resources.
Innovation Solution
A text chain generation method that selects a to-be-matched phrase chain, determines the largest common subsequence, updates the initial phrase chain by adding words from the to-be-matched chain, and connects nodes to a common start and end node, ensuring syntactic logic and efficient generation of more phrases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If phrase extraction method is used to extract phrases from existing text, then phrases can be obtained from text database, but only a limited number of words can be extracted and phrase corpus resources cannot be effectively enriched
Solution Approach 1:
The patent combines multiple phrase chains by finding their largest common subsequences and merging them into unified phrase structures. This allows the system to generate a larger quantity of phrases by combining information from multiple sources rather than extracting limited phrases from single texts, thereby enriching the phrase corpus while maintaining efficiency.
Solution Approach 2:
The patent performs preliminary processing by pre-building phrase chains from existing text data before the actual phrase generation process. This preliminary action creates a structured foundation that enables efficient subsequent processing and generation of additional phrases, resolving the contradiction between quantity and efficiency.
2Extent of automation
If neural network model is used to generate phrases based on input text, then phrases can be generated automatically, but linguistically illogical words are generated and more training is required
Solution Approach 1:
The patent introduces phrase chains as an intermediary structure between input text and generated phrases. Instead of directly generating phrases using a neural network, the system first creates structured phrase chains that capture syntactic relationships, then uses these chains as mediators to generate linguistically logical phrases while maintaining automation.
Solution Approach 2:
The patent segments the phrase generation process into distinct stages: building phrase chains from text, finding common subsequences between chains, and combining chains to generate final phrases. This segmentation allows each stage to be optimized independently, ensuring linguistic logic while maintaining automation through rule-based operations on structured data.
3Quantity of substance
If multiple phrase chains are processed to generate more phrases, then phrase corpus resources can be enriched, but the processing complexity increases
Solution Approach 1:
The patent changes the parameter representation by transforming raw text into structured phrase chains with defined syntactic relationships. This parameter transformation simplifies the processing of multiple phrase chains by providing a standardized format, reducing complexity while enabling diverse phrase corpus generation through systematic combination of these structured units.
Data Source
AI summary
A text chain generation method includes selecting a to-be-matched phrase chain from a phrase chain set to match the initial phrase chain and determining the largest common subsequence between the to-be-matched phrase chain and the initial phrase chain; updating the initial phrase chain by adding a word from the to-be-matched phrase chain and other than the largest common subsequence into the initial phrase chain; using the updated initial phrase chain as a new initial phrase chain and repeating the previous steps until traversing all phrase chains in the phrase chain set to obtain an updated phrase chain; and connecting a left node located in each branch of the updated phrase chain and not connected to any node to a preset common start node and connecting a right node located in each branch of the updated phrase chain and not connected to any node to a preset common end node.