Transcription correction using multi-token structures

摘要

Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.

主权项

1. A method comprising:
receiving, through a computing device executing an input understanding application, an input requesting an alternative to a result that is displayed through the input understanding application; accessing a multi-arc confusion network to identify one or more alternatives for the result; outputting, from the multi-arc confusion network, the one or more alternatives for the result through the input understanding application; and displaying, on a display connected with the computing device, the one or more alternatives.