Abstract: A text display system provides a restricted copy-and-paste operation such that only a limited percentage less than 100% of a source text can be copied. The strategy assumes that a document contains a plurality of words and sentences that a restriction can be placed upon. While it is possible to highlight any amount of text via a typical select function (e.g., mouse drag over text), depending on the number of words at the sentence, paragraph or document level, the present invention limits how much of the selected text can be copied. The system provides the user with instant feedback via visual, tactile or other means, when a selection exceeds the system-imposed limit. The restriction permits the copy-and-paste operation of key ideas from the source text, potentially for further elaboration upon in future writing, and yet discourages indiscriminant copying leading to plagiarism.

Abstract: 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.

Abstract: A text display system provides a restricted copy-and-paste operation such that only a limited percentage less than 100% of a source text can be copied. The strategy assumes that a document contains a plurality of words and sentences that a restriction can be placed upon. While it is possible to highlight any amount of text via a typical select function (e.g., mouse drag over text), depending on the number of words at the sentence, paragraph or document level, the present invention limits how much of the selected text can be copied. The system provides the user with instant feedback via visual, tactile or other means, when a selection exceeds the system-imposed limit. The restriction permits the copy-and-paste operation of key ideas from the source text, potentially for further elaboration upon in future writing, and yet discourages indiscriminant copying leading to plagiarism.

Abstract: 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.

Abstract: A method of, and system for, extracting topic words from a collection of documents across multiple and potentially very large number of domains. Documents are selected and ranked based on similarity with at least one seed word, which defines a topic. Seed words may be entered directly by a user or provided by another application. Keywords are extracted from documents determined to be a sufficiently good match to the topic and may be displayed to the user or used as input into word prediction or word analysis and display software. Documents are determined to be a sufficiently good match to the topic using an iterative algorithm starting with the best match and selecting documents containing keywords sufficiently similar to the previously selected documents.