Google Inc.

Daisuke Ikeda

Vladimir Vuskovic

Ryoichi Imaizumi

Amarnag Subramanya

Melvin Jose Johnson Premkumar

Keiji Maekawa

Kaleigh S Smith

James Kuczmarski

Jinna Lei

Mengmeng Niu

Nimesh Ranjan

Vibhor Jain

Luna Dai

Nihal Sandeep Balani

Wangqing Yuan

Hongjie Chai

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for indicating location status. A computing device can receive a query from a user device, a current time, and a location for the user device. The computing device identifies results responsive to the query, including one or more business results that are each associated with a business location and operating hours. The computing device can select a subset of the business results as open results based on the operating hours of the business results, the current time, and travel times from the device location to the respective business locations. Data can be provided for a search engine results page that designates the subset of the business results as open results.

Indicating location status

Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.

Facilitating communications with automated assistants in multiple languages

Facilitating end-to-end communications with automated assistants in multiple languages

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Sunnyvale, CA, United States of America

Daisuke Ikeda