Google Inc.

Jinna Lei

Vladimir Vuskovic

Amarnag Subramanya

Melvin Jose Johnson Premkumar

James Kuczmarski

Mengmeng Niu

Vibhor Jain

Nimesh Ranjan

Luna Dai

Nihal Sandeep Balani

Daisuke Ikeda

Wangqing Yuan

Hongjie Chai

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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San Francisco, CA, United States of America

Jinna Lei