String data error detection and repair

A string error mitigation computing system, comprising:

• a digital memory;
• a processor set comprising at least one processor, the processor set in operable communication with the digital memory;
• a pattern learner interface which upon execution by the processor set sends a set of string data values to a pattern learner, and receives a set of one or more significant patterns from the pattern learner, the set of significant patterns including a set of one or more regular expressions which collectively match a predefined fraction of the string data values, and which also collectively define at least one outlier string data value;
• and
• a repair engine interface which upon execution by the processor set sends a repair engine at least one significant pattern and at least one outlier string data value, and receives at least one edit program from the repair engine which upon edit program performance edits the outlier string data value to produce an edited outlier string data value which conforms to at least one significant pattern.

A computer-readable storage device configured with data and instructions which upon execution by a processor cause a computing system to perform a string error mitigation method, the string error mitigation method comprising:

• an AI-based regular expression learner means learning a regular-expression-based pattern that characterizes at least a predefined fraction of a set of string data values;
• an AI-based semantic substring masker means identifying, and masking out with a mask value, a substring based on a predefined set of semantic data types;
• the AI-based regular expression learner means treating the mask value as a placeholder character;
• an edit deriver means of the computing system deriving one or more edits to repair a string which contains the mask value;
• an AI-based value predictor means predicting a replacement substring;
• and
• the computing system replacing the mask value by the replacement substring.