International Business Machines Corporation

Rachel Cohen

Munish Goyal

Qin Shirley Held

Jason Boada

Dangaia Sims

Jeremy Chase

A method and system for improving document lifecycle editing and storage technology is provided. The method includes enabling interactions between a user and a hardware controller. Editor profiles associated with editing privileges of the user are generated. The editor profiles include parameters generated based on a performance of past edits. The editing tasks are automated task difficulty attributes associated with a difficulty of executing the editing tasks are generated. The editing tasks may include readability and consolidation tasks. An optimized version of the editing tasks is assigned to software editors and time periods associated with the software editors completing the editing tasks are tracked. The optimized version of the editing tasks is generated based on the editor profiles and new tasks for assignment. User permissions and alerts are monitored and recommendation actions associated with the editing tasks are generated. The editing tasks are modified for future execution.

Automated editing task modification

A method and system for improving linguistic data and storage technology is provided. The method includes receiving data input text from a user and identifying text within the data input text. The data input text is edited and improvements in the data input text are detected via a machine learning process. In response, a modified version of the user interface is generated for allowing additional users to view and modify additional data input text. Change attributes associated with the data input text with respect to the modified version of the user interface are determined and alternative input suggestions are ranked. Editing data and code are generated in response to an editor engine interacting with a hardware controller. The editing data and code is executed thereby updating and modifying functions associated with software engines to increase an efficiency of future recommendations associated with future data input text analysis.

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Brooklyn, NY, United States of America

Rachel Cohen