Google Inc.

Krishna Sapkota

Victor Carbune

Behshad Behzadi

Zaheed Sabur

Luv Kothari

Nicolo D'Ercole

Julia Proskurnia

Jacopo Sannazzaro Natta

Justin Lu

Magali Boizot-Roche

Márius Sajgalík

Implementations described herein relate to an application and/or automated assistant that can identify arrangement operations to perform for arranging text during speech-to-text operations—without a user having to expressly identify the arrangement operations. In some instances, a user that is dictating a document (e.g., an email, a text message, etc.) can provide a spoken utterance to an application in order to incorporate textual content. However, in some of these instances, certain corresponding arrangements are needed for the textual content in the document. The textual content that is derived from the spoken utterance can be arranged by the application based on an intent, vocalization features, and/or contextual features associated with the spoken utterance and/or a type of the application associated with the document, without the user expressly identifying the corresponding arrangements. In this way, the application can infer content arrangement operations from a spoken utterance that only specifies the textual content.

Arranging and/or clearing speech-to-text content without a user providing express instructions

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Zurich, Switzerland

Krishna Sapkota