Abstract: In one embodiment, a computer-implemented method comprises receiving, from a client device, a text sequence input that comprises a plurality of words; using a server computer, executing an inference stage of a trained unified machine learning model over the text sequence input, the unified machine learning model having been trained on a training dataset comprising a plurality of pairs of records, each of the pairs of records comprising an unmodified natural language text string and a modified natural language text string, each of the records being labeled using two or more prefixes, each prefix among the two or more prefixes corresponding to a different attribute of natural language that is represented in the modified natural language text string, the modified natural language text string comprising two or more modifications corresponding to the prefixes; using the unified machine learning model, outputting one or more text suggestions for the text sequence input and explanation data comprising one or more pr