System and Method for Better Reading and Understanding in an E-Reader
Publication Date: 2015-Jan-15
The IP.com Prior Art Database
Disclosed is a method of adjusting content on an e-reader based on the individual's reading level and culture.
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System and Method for Better Reading and Understanding in an E -
For people who are dyslexic or are from a different culture from the writer, the way sentences are written could be very confusing. Readers may not understand certain slangs, idioms, or phrases. There is a need to adjust the content for the readers based on their reading level or culture.
Proposed here is a system that takes complex or confusing words, sentences, or paragraphs to make them simpler to the specific reader. While the reader is reading in an e-book or e-reader, the words, sentences, or paragraphs are re-stated or re-phrased and customized to the reader's culture and reading level. The system will dynamically tailor a book to multiple readers based on their reading level, culture, or disabilities.
Step 1: The system checks the reader's cultural background or reading level.
The reader can provide cultural background or reading level via a user interface. The system will consider the input from the reader and provide adjustments to the content to fit the user's input.
Step 2: The system identifies phrases that need to be altered.
The system scans paragraphs and sentences using natural language processing (NLP) techniques to identify key phrases, and statements are annotated as double negative, repetitive negation, long prepositions, complexity, and culture specific, and so on. For example, the system would be able to identify a repetitive negation phrase "I'm not going to, not buy that." This phrase would be modified for the reader.
Step 3. The system seeks alternative text.
Once these are designated, an alternative text is provided to simplify the statement, term, or phrase based on the readers current profile (reading level, culture, disability). The system either uses an alternate repository that has the annotated information or the analysis can be performed by a connected system to a server or system providing the real-time analysis. In the previous example, the repetitive negation "I'm not going to, not buy that" can be simplified as "I'm going to buy that".
Handling of double negative:
First the system starts to identify matching double negative pattern, transpose the other negative. It checks sentence grammar and vice versa (check previous patterns). If it doesn't satisfy grammar check, then it removes one negative, then it transposes the other negative. It checks sentence grammar and vice vers...