Method and process for performing category-based analysis, evaluation, and prescriptive practice creation upon stenographically written and voice-written text files
First Claim
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.
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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.
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Citations
17 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.
- 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.
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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.
Specification