Automatic Text Skimming Using Lexical Chains for Sight-Impaired Users
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Solution Overview
Problem
Sight-impaired individuals face difficulties in accessing and navigating through electronic texts due to the lack of efficient methods for quickly identifying key information, as traditional reading and skimming techniques are slow and laborious.
Innovation Solution
The implementation of automatic text skimming using lexical chains, which creates collections of related words or phrases (lexical chains) to represent concepts within a document, allowing users to select and highlight relevant text while hiding irrelevant information, thereby facilitating faster navigation and information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional reading or listening to text read out loud is used, then complete information access is achieved, but time consumption increases significantly
Solution Approach 1:
The patent segments the electronic document into multiple lexical chains, where each chain represents a distinct concept or topic. This segmentation allows sight-impaired users to navigate directly to relevant concepts without processing the entire document sequentially, thereby reducing time consumption while maintaining information access completeness.
Solution Approach 2:
The patent introduces a new dimension of navigation by creating lexical chains that organize document content conceptually rather than linearly. Users can jump between concepts represented by lexical chains, transforming the traditional linear reading experience into a multi-dimensional navigation system that prioritizes relevant information.
2Productivity
If lexical chains are created to represent concepts, then navigation efficiency improves, but system complexity increases
Solution Approach 1:
The patent introduces lexical chains as intermediary structures that bridge the gap between the user and the document content. These chains act as mediators that organize and represent concepts, enabling efficient navigation without requiring complex processing during the actual reading or listening phase.
Solution Approach 2:
The patent performs preliminary action by pre-processing the document to create lexical chains before the user needs to access the information. This pre-organization of content into concept-based chains reduces the computational complexity during user interaction, as the heavy lifting of structuring the information has already been completed.
3Loss of information
If all text is presented to sight-impaired users, then complete information is available, but difficulty in identifying key points increases
Solution Approach 1:
The patent segments the document into distinct lexical chains representing different concepts or topics. This segmentation allows users to focus on specific chains relevant to their needs, making key point identification easier while maintaining access to complete information through the organized structure.
Solution Approach 2:
The patent applies local quality by allowing users to select and focus on specific lexical chains that contain relevant information, while other chains can be temporarily set aside. This creates a localized view of information that enhances ease of operation by presenting only the most relevant content at any given time.
Data Source
AI summary
Automatic text skimming using lexical chains may be provided. First, at least one lexical chain may be created from an electronic document. Next, a list of positions within the electronic document may be created. The positions may include where at least one concept represented by one of the at least one lexical chain is mentioned. In addition, a list of the position where the at least one concept is mentioned may be assembled. A selection of at least one concept may be received from the list.