LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING

    公开(公告)号:US20220335203A1

    公开(公告)日:2022-10-20

    申请号:US17453763

    申请日:2021-11-05

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

    LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING

    公开(公告)号:US20230351090A1

    公开(公告)日:2023-11-02

    申请号:US18346609

    申请日:2023-07-03

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

    Linguistically-driven automated text formatting

    公开(公告)号:US11734491B2

    公开(公告)日:2023-08-22

    申请号:US17453763

    申请日:2021-11-05

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

    Generating cascaded text formatting for electronic documents and displays

    公开(公告)号:US12086532B2

    公开(公告)日:2024-09-10

    申请号:US17917171

    申请日:2021-04-07

    摘要: 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.

    GENERATING CASCADED TEXT FORMATTING FOR ELECTRONIC DOCUMENTS AND DISPLAYS

    公开(公告)号:US20230123328A1

    公开(公告)日:2023-04-20

    申请号:US17917171

    申请日:2021-04-07

    摘要: 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.

    Linguistically-driven automated text formatting

    公开(公告)号:US11170154B1

    公开(公告)日:2021-11-09

    申请号:US17233339

    申请日:2021-04-16

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.