Abstract: An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases.

Abstract: A method and system for enabling a visually impaired user to use a touch-sensitive device. The present invention provides an interface for the visually impaired (IVI) system which enables a visually impaired user to use a touch-sensitive screen. The IVI system provides an explore mode in which a visually impaired user may determine which objects are on the touch-sensitive screen by dragging a finger over the touch-sensitive screen. In particular, the IVI system announces objects as a user touches them. For example, the IVI system announces text as it is touched and announces controls, such as buttons, as they are touched. In addition, the IVI system enables a user to execute controls. A user may execute a control, such as a button, by dragging a finger onto the control, and then, without dragging the finger off of the control, lifting the finger off of the touch-sensitive screen. The IVI system further enables a user to scroll through lists on a touch-sensitive screen.

Abstract: A method and system for enabling a visually impaired user to use a touch-sensitive device. The present invention provides an interface for the visually impaired (IVI) system which enables a visually impaired user to use a touch-sensitive screen. The IVI system provides an explore mode in which a visually impaired user may determine which objects are on the touch-sensitive screen by dragging a finger over the touch-sensitive screen. In particular, the IVI system announces objects as a user touches them. For example, the IVI system announces text as it is touched and announces controls, such as buttons, as they are touched. In addition, the IVI system enables a user to execute controls. A user may execute a control, such as a button, by dragging a finger onto the control, and then, without dragging the finger off of the control, lifting the finger off of the touch-sensitive screen. The IVI system further enables a user to scroll through lists on a touch-sensitive screen.

Abstract: An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases.

Abstract: An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases.

Abstract: An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases.

Abstract: An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases.