US 12,086,532 B2Granted

Generating cascaded text formatting for electronic documents and displays

AssigneeCascade Reading, Inc.

InventorsMichael Gorman, Mark Lacek, Kashif Riaz, Julie A. Van Dyke

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Abstract

Various examples of approaches for using and implementing cascaded text formatting within electronic publishing and display mediums are described herein. In an example, a method for analyzing and re-formatting a stream of text, includes: obtaining a stream of human-readable text in a natural language processing (NLP) parser to identify parts-of-speech and key phrases in a proper sentence; tagging the identified parts-of-speech according to the respective parts and key phrases; generating a text cascade arrangement for a display of the proper sentence by applying predefined rules to the part-of-speech and key phrases, where such a display of the proper sentence provides breaks and cascading, including indentations, according to the pre-defined rules; and outputting an electronic display of the proper sentence which includes the text cascade arrangement. Other examples of methods of converting text, formatting text, and displaying text, with such text cascade arrangements and related formats, are also disclosed.

Claims15

Dependent claims

A method for displaying sentences of human-readable text in a cascaded format, the method comprising:

generating a customized cascade of a sentence with iterative operations including:
a) parsing a text to identify linguistic constituents associated with each word in the sentence;
b) tagging the identified linguistic constituents;
c) applying cascade rules to the linguistic constituents to generate instructions that display the sentence in a cascaded format, wherein the sentence breaks and cascading including indentations are defined by the cascade rules;
d) receiving input relating to a context of a user, the input captured in response to the display of the sentence to the user, wherein the context of the user includes a type of a display device used to provide the display of the sentence, and wherein the input includes a measurement of eye fixation and eye movement that is used to measure the ability of the user to comprehend a sentence displayed using the cascade rules in the type of the display device;
e) generating personalized text formatting parameters for the user based on the context of the user including the type of the display device and the measurement of the eye fixation and eye movement of the user;
f) applying the personalized text formatting parameters to the sentence to generate instructions that change the display of the sentence into an adapted cascaded format, wherein the personalized text formatting parameters provide visual enhancement to the display of the sentence while maintaining the sentence breaks and cascading including indentations that are defined by the cascade rules,
wherein the personalized text formatting parameters are based on a single individual profile corresponding to the user, and the personalized text formatting parameters are adapted specifically for the single individual profile, wherein the visual enhancement identifies linguistic structure including one or more of syntax, a key phrase, or a part-of-speech, wherein the visual enhancement is customized to the type of the display device, and wherein the visual enhancement comprises text formatting from one or more of:
sentence spacing, font, highlighting, font color, font size, or background color of the sentence;
and
g) repeating operations d) through f) until a stop criteria is met;
and
rendering the display of the customized cascade of the sentence in a user interface of the display device, using the cascade rules and the personalized text formatting parameters.

10 more elements

A method for diagnosing a medical condition affecting a reading ability of a human subject, comprising:

generating a customized cascade of sentences for output in a display device used by the human subject, with iterative operations including:
a) displaying sentences in a cascaded format to the human subject via the display device, wherein sentence breaks and cascading including indentations are defined by cascade rules;
b) receiving input relating to a context of the human subject, the input captured in response to the displaying of the sentences to the human subject, wherein the context of the human subject includes a type of the display device used to output the sentences, and wherein the context of the human subject includes a measurement of eye fixation and eye movement that is used to measure the ability of the human subject to comprehend the sentences;
c) generating personalized text formatting parameters for the human subject based on the context of the human subject including the type of the display device and the measurement of the eye fixation and eye movement of the human subject;
d) applying the personalized text formatting parameters to change the displaying of the sentences into an adapted cascaded format, wherein the personalized text formatting parameters provide visual enhancement to the displaying of the sentences while maintaining the sentence breaks and cascading including indentations that are defined by the cascade rules,
wherein the personalized text formatting parameters are based on a profile associated with the human subject, and the personalized text formatting parameters are adapted specifically for the profile,
wherein the visual enhancement identifies linguistic structure including one or more of syntax, a key phrase, or a part-of-speech, wherein the visual enhancement is customized to the type of the display device, and wherein the visual enhancement comprises text formatting from one or more of:
sentence spacing, font, highlighting, font color, font size, or background color of the sentence;
and
e) repeating operations b) through d) until a stop criteria is met;
and
generating a data output used to diagnose a medical condition, using the eye fixation and eye movement of the human subject, in response to presenting a plurality of display adaptations to the cascade of sentences in the display device.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/917,171Filed 7 Apr 2021 · us provisional application
Priority: 7 Apr 2020
Published: US 2023/0123328 A120 Apr 2023
Granted: 10 Sep 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification15 codes

G06F 40/106
Formatting, i.e. changing of presentation of documents: display of layout of documents; Previewing
G09G 3/001
Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes: using specific devices not…
G06F 3/14
Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for…: digital…
G06F 40/103
Text processing: formatting, i.e. changing of presentation of documents