Method and process for performing category-based analysis, evaluation, and prescriptive practice creation upon stenographically written and voice-written text files

• US 20090012789A1
• Filed: 10/17/2007
• Published: 01/08/2009
• Est. Priority Date: 10/18/2006
• Status: Active Grant

• Current Assignee: Gary Pollreis, Gordon James Gaudet, Sandra Joyce Natale, Teresa Ruth Gaudet
• Original Assignee: Gary Pollreis, Gordon James Gaudet, Sandra Joyce Natale, Teresa Ruth Gaudet
• Inventors: Pollreis, Gary, Gaudet, Teresa Ruth, Gaudet, Gordon James, Natale, Sandra Joyce
• Granted Patent: US 8,321,197 B2
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

System and method for electronically identifying and analyzing the type and frequency of errors and mismatches in a stenographically or voice written text against a stored master file and dynamically creating personalized user feedback, drills, and practice based on identified errors and mismatches from within the context of the stored master file. The system provides the user with a plurality of methods to enter a text file for error identification and analysis including both realtime and non-realtime input. The text input is then compared to a stored master file through a word-by-word iterative process which produces a comparison of writing input and stored master wherein errors and mismatches are identified and grouped in a plurality of pre-defined and user-selected categories, each of which is color-coded to facilitate pattern recognition of type and frequency of errors and mismatches in the submitted writing.

Claims

1. ) An automated, computer based method comprising analysis and evaluation of a stenographically written or voice-written writing performance according to pre-determined and user defined categories through a computerized system of analysis whereby a writing sample is submitted and deconstructed through a software program into a series of manageable word arrays which are then compared to each other on the basis of a repeating set of a plurality of evaluation criteria processed and applied through a pre-determined sequence which a writer can invoke to create a comprehensive analysis of a writing categorizing errors by type and frequency and a dynamically generated sets of personalized prescriptive practice drills based on identified errors, said practice being grouped by category and built from a corrected version of each error identified embedded in content extracted from the master file elements immediately preceding and succeeding the corrected error which the writer can use to quickly identify areas of performance deficiency and execute corrective practice to overcome said deficiencies.

2. ) The automated computer based method as recited in claim 1 wherein the analysis is based upon and includes a series of categories upon which the resultant evaluation will be performed including but not necessarily limited to dropped words, extra words, wrong words, spelling errors, number format mismatches, plural/singular mismatches, word boundary errors, phrase/contraction transpositions, punctuation and case mismatches, untranslated or partially translated steno outlines, whereby errors identified can be organized so as to display frequency by category allowing writers to identify concentrations of similar types of errors for more efficient practice focus.

3. ) The automated computer based method as recited in claim 1 wherein is included a graphical user interface allowing the user to define additional categories to be included in the category-based analysis and associated prescripted practice creation provided by the category-based evaluation process.

4. ) The automated computer based method as recited in claim 1 wherein the a pre-determined sequence of color-codes are incorporated into the method of displaying the resultant category-based error analysis and evaluation whereby error relationships and frequency are easily discernible by the writer who is then able to make appropriate decisions allocating available practice time to the most critical areas for his or her personal performance characteristics.

5. ) The automated computer based method as recited in claim 1 and further including a graphical user interface allowing the evaluation of directly input (realtime) files or upload of saved files previously written for evaluation whereby writers may achieve a maximum level of evaluation and analysis of a wide variety of types of practice.

6. ) The automated computer based method as recited in claim 1 wherein a tabular display is included in the category-based analysis display to provide the user with specific error totals by category for each writing whereby a user may easily identify and prioritize categories of errors by type and frequency of occurrence.

7. ) The automated computer based method as recited in claim 1 wherein a tabular display compares each word or character element of the writing sample submitted to each corresponding word or character element of the master file with resultant non-matches noted and highlighted in the color-codes corresponding to the category based analysis.

8. ) The automated computer based method as recited in claim 1 wherein the evaluation analysis with errors identified and color coded according to the category based analysis performed may be displayed as a single continuous results file whereby users may easily identify patterns of categories of errors as they occur throughout the writing.

9. ) The automated computer based method as recited in claim 1 wherein a graphical user interface is included to allow the user to move from each error identified in the results file of claim 8 to the corresponding error line of the tabular report of claim 7.

10. ) The automated computer based method as recited in claim 1 wherein a graphical user interface is included to display in conjunction with and juxtaposition to each color-coded error identified a correction of said error upon user command.

11. ) The automated computer based method of claim 1 wherein a graphical user interface is included allowing the writer to input data on the conditions under which the writing was created.

16. ) The automated computer based method of claim 12 wherein logic is included in the program allowing the data collected by the graphical user interface of claim 11 to be associated with its corresponding evaluation attempt and displayed upon query of the database containing evaluation and analysis results.

12. ) An automated computer-based method comprising the dynamic creation of personalized drill practice through the operation of a computer algorithm to identify errors in a stenographic writing according to pre-defined and user-defined categories of errors wherein (a) each error identified invokes the extraction of the error and its surrounding context from text, voice or video files, corrects the error by reference to a master file document, and then embeds the correction into an extraction of content, which may be text, voice or video file, from the original master file surrounding the word element to which the error was compared, and (b) each result presents the combination of corrected error and context to the writer for immediate prescriptive practice, and (c) each prescriptive practice element is presented to the user aggregated with other prescriptive practice elements developed from errors assigned to the same category of analysis, and (d) each category of prescriptive practice sets are accessible distinctly from all other categories at will by the user whereby each user may execute at will personalized prescriptive practice organized by type and frequency of error rather than by simple sequence of error occurrence.

13. ) The automated computer based method recited in claim 12 and further including a graphical user interface allowing the writer to select the extent of contextual surround to be used to build the prescriptive practice dynamically created for each error and to adjust said extent of contextual surround according to the category of error selected for practice.

14. ) The automated computer based method recited in claim 12 and further including a graphical user interface allowing he writer to download and save all prescriptive practice created by the evaluation and analysis process for further, offline practice.

17. ) The automated computer based method of claim 12 wherein logic is included to allow the recreation of events and sequences of events performed by users and the association of said events with corresponding evaluation results and prescriptive practice activities.

15. ) An automated, computer based method comprising the storage and organization of evaluation results data and prescriptive practice created by the process of writing analysis and evaluation according to a pre-determined and user-definable plurality of categories in a searchable database such manner that said evaluation results and created prescriptive practice may be recreated and displayed by the user at any time after the evaluation process is completed.