Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: A digital assistant includes an extensibility client that interfaces with application extensions that are built by third-party developers so that various aspects of application user experiences, content, or features may be integrated into the digital assistant and rendered as native digital assistant experiences. Application extensions can use a variety of services provided from cloud-based and/or local sources such as language/vocabulary, user preferences, and context services that add intelligence and contextual relevance while enabling the extensions to plug in and operate seamlessly within the digital assistant context. Application extensions may also access and utilize general digital assistant functions, data structures, and libraries exposed by the services and implement application domain-specific context and behaviors using the programming features captured in the extension.

Abstract: A computing system can communicate, over one or more networks, with computing devices of requesting users and transport providers of a transport service, and determine, based at least in part on location data from the computing devices of a cluster of the requesting users, that the cluster of requesting users is currently in transit on a third-party transit means. The computing system can then determine that a subset of the cluster will arrive at a common arrival location of the third-party transit means, and execute a timing optimization for the subset to determine, for each requesting user of the subset, an optimal time to transmit a transport request for an on-demand transport service at the common arrival location.

Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: A network system implementing or managing a network-based service is configured to receive a query from a user device, the query indicating a start location and a service location. Based on the start location, service location, and the time of receipt of the query, the network system can determine whether to perform request optimization for the user. In response to determining to perform request optimization and if the user accepts request optimization, the network system can schedule or queue the request for service from the user for processing during an optimization time window. The request optimization can improve the probability that the request from the user is matched with other requests from other users for a rideshare-pooling service class of the network-based service. In some circumstances, the network system can determine to automatically perform request optimization without prompting the user to accept or decline the request optimization.

Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: A digital assistant includes an extensibility client that interfaces with application extensions that are built by third-party developers so that various aspects of application user experiences, content, or features may be integrated into the digital assistant and rendered as native digital assistant experiences. Application extensions can use a variety of services provided from cloud-based and/or local sources such as language/vocabulary, user preferences, and context services that add intelligence and contextual relevance while enabling the extensions to plug in and operate seamlessly within the digital assistant context. Application extensions may also access and utilize general digital assistant functions, data structures, and libraries exposed by the services and implement application domain-specific context and behaviors using the programming features captured in the extension.

Abstract: Systems and methods may be used to provide transcription and translation services. A method may include initializing a plurality of user devices with respective language output selections in a translation group by receiving a shared identifier from the plurality of user devices and transcribing the audio stream to transcribed text. The method may include translating the transcribed text to one or more of the respective language output selections when an original language of the transcribed text differs from the one or more of the respective language output selections. The method may include sending, a user device in the translation group, the transcribed text including translated text in a language corresponding to the respective language output selection for the user device. In an example, the method may include customizing the transcription or the translation, such as to a particular topic, location, user, or the like.

Abstract: A digital assistant includes an extensibility client that interfaces with application extensions that are built by third-party developers so that various aspects of application user experiences, content, or features may be integrated into the digital assistant and rendered as native digital assistant experiences. Application extensions can use a variety of services provided from cloud-based and/or local sources such as language/vocabulary, user preferences, and context services that add intelligence and contextual relevance while enabling the extensions to plug in and operate seamlessly within the digital assistant context. Application extensions may also access and utilize general digital assistant functions, data structures, and libraries exposed by the services and implement application domain-specific context and behaviors using the programming features captured in the extension.

Abstract: A server includes a processor and memory, a network interface, and a first application executed by the processor and memory. The first application is configured to receive an input in a first language based on a call received via the network interface by a Voice over Internet Protocol (VoIP) application executed by the server. The call includes speech in a second language. The VoIP application includes speech recognition and translation functionality to process the call. The first application is configured to generate a response in the first language to the input. The first application is configured to transmit the response to the VoIP application to send a speech representation of the response in the second language via the call. The speech representation indicates quality of the speech recognition and translation functionality of the VoIP application.

Abstract: A system running on a mobile device such as a smartphone is configured to expose a user interface (UI) to enable a user to specify web pages that can be pinned to a start screen of the device. Once pinned, the user may launch a web page by voice command from any location on the UI or from within any experience that is currently being supported on the device. Thus, the user can be on a call with a friend talking about a new video game and then use a voice command to launch a web browser application on the mobile device that navigates to a pinned web page having information about the game's release date. Web pages can be readily pinned and unpinned from the start screen through the UI. When a web page is unpinned from the start screen, the system disables voice web navigation for it.

Abstract: A digital assistant includes an extensibility client that interfaces with application extensions that are built by third-party developers so that various aspects of application user experiences, content, or features may be integrated into the digital assistant and rendered as native digital assistant experiences. Application extensions can use a variety of services provided from cloud-based and/or local sources such as language/vocabulary, user preferences, and context services that add intelligence and contextual relevance while enabling the extensions to plug in and operate seamlessly within the digital assistant context. Application extensions may also access and utilize general digital assistant functions, data structures, and libraries exposed by the services and implement application domain-specific context and behaviors using the programming features captured in the extension.

Abstract: A system running on a mobile device such as a smartphone is configured to expose a user interface (UI) to enable a user to specify web pages that can be pinned to a start screen of the device. Once pinned, the user may launch a web page by voice command from any location on the UI or from within any experience that is currently being supported on the device. Thus, the user can be on a call with a friend talking about a new video game and then use a voice command to launch a web browser application on the mobile device that navigates to a pinned web page having information about the game's release date. Web pages can be readily pinned and unpinned from the start screen through the UI. When a web page is unpinned from the start screen, the system disables voice web navigation for it.