Text Segmentation for Reading Comprehension
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Solution Overview
Problem
Traditional text presentation methods are insufficient for improving readability and comprehension, especially for individuals with reading difficulties, as they do not effectively segment text into coherent units for focus and emphasis.
Innovation Solution
A method of parsing sentences into phrasal segments using a computer processor, where candidate break points are identified based on punctuation and parts of speech, and the text is read aloud with pauses between segments to enhance comprehension and readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional text presentation methods are used, then text can be displayed continuously, but reading comprehension and readability are insufficient for individuals with reading difficulties
Solution Approach 1:
The patent applies segmentation by dividing continuous text into discrete phrasal segments separated by break points. These segments are then presented sequentially with visual highlighting and auditory playback, transforming overwhelming continuous text into manageable units that improve both readability and comprehension for individuals with reading difficulties.
2Reliability
If text is segmented into phrasal units with visual highlighting and sequential auditory playback, then reading comprehension improves, but the complexity of the text presentation system increases
Solution Approach 1:
The system segments text into phrasal units and processes them through multiple channels (visual highlighting and auditory playback) separately before integrating the effects, which manages complexity through structured division of processing functions.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes text to identify break points and phrasal segments, then coordinates between visual display and auditory output systems. This intermediary module manages the complexity by centralizing the segmentation logic and timing coordination.
3Manufacturing precision
If candidate break points are identified based on punctuation and parts of speech, then segmentation accuracy improves, but the processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary identification of candidate break points using punctuation marks and parts of speech before final segment selection. This preliminary action filters obvious break points early in the process, reducing the computational burden of subsequent optimization steps.
Solution Approach 2:
The patent changes parameters by using multiple linguistic features (punctuation types, parts of speech categories) to identify break points. By varying the granularity and combination of these parameters, the system achieves high segmentation accuracy while managing processing complexity through hierarchical parameter evaluation.
Data Source
AI summary
The present invention is a text display system with speech output that uses a method of text segmentation in which segments of text are presented one after another for reading text sequentially. To indicate the location of text a user is currently reading, the current sentence is emphasized by presenting the surrounding text in faded colors. The current sentence is segmented into phrases where the points of segmentation are chosen by a series of grammatical rules and the desired number of words in each segment. When the text is presented sequentially, each segment is highlighted within the current sentence. With the use of a text-to-speech output system, each segment is spoken out with a pause before the next segment is presented. In a non-linear/selective reading scenario, a user can select a text segment, for which the span of the segment can be automatically generated or manually selected by the user.