Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable graphical elements that a human user can manipulate on the display screen using an input device in furtherance of improving the initial parsing. The expandable graphical elements have particular spatial and visual interrelationships in keeping with the initial text parsing, human user interactions with the expandable graphic elements captured so as to convert the human-based interactions with these graphical elements into additional machine-readable text and mark-up that can be usable for other machine-based text processes. The system, in addition to being a parsed text/editor interface, thereby functions as an intuitive, visual conduit for dynamic human-machine text analysis collaboration.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.

Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.

Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.

Abstract: A computer executable process for simultaneous visual depiction of plural text hierarchies of a visually displayable machine readable text, including provisions for a visual cue as to a location of a user select text within the simultaneous visual depiction of plural text hierarchies is provided. A text hierarchy is extracted for a reader select text of a machine read text accessible by at least a data processing portion of a data processing and display system. Units of a select element of elements of the text hierarchy are formatted for display and displayed upon a display of the data processing and display system. A portion of text of the machine read text present in the select unit of a select element of elements of the text hierarchy is selected such that when said selected portion of text is present in a particular hierarchical representation, units the select element of elements of the text hierarchy are selectively of moved or positioned.

Abstract: Reading product fabrication methods and devices are provided. Characteristic of the methods is the extraction of text specific attributes from machine readable text, and varying the text presentation in accordance with the attributes. Parts of speech and punctuation of a sentence are identified, with folding rules, which use the parts of speech to determine folding points, applied. The sentence is divided into text segments based upon the folding points, and horizontal displacement rules applied to create displayed text characterized by a cascading appearance.

Abstract: A text enhancement method and apparatus for the presentation of text for improved human reading. The method includes extracting text specific attributes from machine readable text and varying the text presentation in accordance with the attributes. The preferred embodiment of the method: extracts parts of speech and punctuation from a sentence, applies folding rules which use the parts of speech to determine folding points, and presents text segments each on a new line and having a determined horizontal displacement based on the text specific attributes. One method displays text over bent curves having a shape based on text content. Another method includes displaying relative text position within a hierarchy using alternating vertically and horizontally tiled planes. Another method supports reading text segments across opposed pages without waiting for paging. Yet another method displays text to allow reading from bottom to top as though from front to back.

Abstract: A text enhancement method and apparatus for the presentation of text for improved human reading. The method includes extracting text specific attributes from machine readable text and varying the text presentation in accordance with the attributes. The preferred embodiment of the method: extracts parts of speech and punctuation from a sentence, applies folding rules which use the parts of speech to determine folding points, and presents text segments each on a new line and having a determined horizontal displacement based on the text specific attributes. One method displays text over bent curves having a shape based on text content. Another method includes displaying relative text position within a hierarchy using alternating vertically and horizontally tiled planes. Another method supports reading text segments across opposed pages without waiting for paging. Yet another method displays text to allow reading from bottom to top as though from front to back.

Abstract: A text enhancement method and apparatus for the presentation of text for improved human reading. The method includes extracting text specific attributes from machine readable text and varying the text presentation in accordance with the attributes. The preferred embodiment of the method: extracts parts of speech and punctuation from a sentence, applies folding rules which use the parts of speech to determine folding points, and presents text segments each on a new line and having a determined horizontal displacement based on the text specific attributes. One method displays text over bent curves having a shape based on text content. Another method includes displaying relative text position within a hierarchy using alternating vertically and horizontally tiled planes. Another method supports reading text segments across opposed pages without waiting for paging. Yet another method displays text to allow reading from bottom to top as though from front to back.

Abstract: A text enhancement method and apparatus for the presentation of text for improved human reading. The method includes extracting text specific attributes from machine readable text and varying the text presentation in accordance with the attributes. The preferred embodiment of the method: extracts parts of speech and punctuation from a sentence, applies folding rules which use the parts of speech to determine folding points, and presents text segments each on a new line and having a determined horizontal displacement based on the text specific attributes. One method displays text over bent curves having a shape based on text content. Another method includes displaying relative text position within a hierarchy using alternating vertically and horizontally tiled planes. Another method supports reading text segments across opposed pages without waiting for paging. Yet another method displays text to allow reading from bottom to top as though from front to back.

Abstract: A text enhancement method and apparatus for the presentation of text for improved human reading. The method includes extracting text specific attributes from machine readable text and varying the text presentation in accordance with the attributes. The preferred embodiment of the method: extracts parts of speech and punctuation from a sentence, applies folding rules which use the parts of speech to determine folding points, uses the folding points to divide the sentence into text segments, applies horizontal displacement rules to determine horizontal displacement for the text segments, and presents the text segments each on a new line and having the determined horizontal displacement. Another embodiment displays text color based on parts of speech.