Microsoft Technology Licensing, LLC

Mukul Singh

Sumit Gulwani

Vu Minh Le

Carina Suzana Negreanu

José Pablo Cambronero Sánchez

Gust Ben Anneloes Verbruggen

Some embodiments perform fully unsupervised string error detection and repair, for strings containing both syntactic errors and semantic errors. In some embodiments, string error mitigation includes learning a regular-expression-based pattern that characterizes at least a predefined fraction of a set of string data values, identifying and masking a semantic substring, deriving edits to repair a string which contains the semantic substring, and replacing a mask value with a replacement substring that conforms to the pattern. Some embodiments utilize a language model. Some embodiments include or utilize a pattern learner, one or more learned significant patterns, and a repair engine. Some embodiments exploit program execution information to generate patterns when significant patterns are not initially found.

Growing community of inventors

Delhi, India

Mukul Singh