Abstract: Implementations relate to dynamically, and in a context-sensitive manner, biasing voice to text conversion. In some implementations, the biasing of voice to text conversions is performed by a voice to text engine of a local agent, and the biasing is based at least in part on content provided to the local agent by a third-party (3P) agent that is in network communication with the local agent. In some of those implementations, the content includes contextual parameters that are provided by the 3P agent in combination with responsive content generated by the 3P agent during a dialog that: is between the 3P agent, and a user of a voice-enabled electronic device; and is facilitated by the local agent. The contextual parameters indicate potential feature(s) of further voice input that is to be provided in response to the responsive content generated by the 3P agent.

Abstract: The present disclosure is generally directed to the generation of voice-activated data flows in interconnected network. The voice-activated data flows can include input audio signals that include a request and are detected at a client device. The client device can transmit the input audio signal to a data processing system, where the input audio signal can be parsed and passed to the data processing system of a service provider to fulfill the request in the input audio signal. The present solution is configured to conserve network resources by reducing the number of network transmissions needed to fulfill a request.

Abstract: The present disclosure is generally directed to the generation of voice-activated data flows in interconnected network. The voice-activated data flows can include input audio signals that include a request and are detected at a client device. The client device can transmit the input audio signal to a data processing system, where the input audio signal can be parsed and passed to the data processing system of a service provider to fulfill the request in the input audio signal. The present solution is configured to conserve network resources by reducing the number of network transmissions needed to fulfill a request.

Abstract: Techniques are described herein for multi-modal interaction between users, automated assistants, and other computing services. In various implementations, a user may engage with the automated assistant in order to further engage with a third party computing service. In some implementations, the user may advance through dialog state machines associated with third party computing service using both verbal input modalities and input modalities other than verbal modalities, such as visual/tactile modalities.

Abstract: Techniques are described herein for multi-modal interaction between users, automated assistants, and other computing services. In various implementations, a user may engage with the automated assistant in order to further engage with a third party computing service. In some implementations, the user may advance through dialog state machines associated with third party computing service using both verbal input modalities and input modalities other than verbal modalities, such as visual/tactile modalities.

Abstract: Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for facilitating input by a user into a form. In one aspect, a method include actions of obtaining a web resource that includes a form, determining a particular field of the form has been selected, determining an intent that corresponds to the form from a first semantic tag in the web resource, determining a parameter of the intent that corresponds to the particular field of the form from a second semantic tag in the web resource, determining a value to suggest for the particular field based at least on the intent and the parameter of the intent, and providing the value for output as a suggestion of input for the particular field.

Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).

Abstract: Implementations relate to dynamically, and in a context-sensitive manner, biasing voice to text conversion. In some implementations, the biasing of voice to text conversions is performed by a voice to text engine of a local agent, and the biasing is based at least in part on content provided to the local agent by a third-party (3P) agent that is in network communication with the local agent. In some of those implementations, the content includes contextual parameters that are provided by the 3P agent in combination with responsive content generated by the 3P agent during a dialog that: is between the 3P agent, and a user of a voice-enabled electronic device; and is facilitated by the local agent. The contextual parameters indicate potential feature(s) of further voice input that is to be provided in response to the responsive content generated by the 3P agent.

Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).

Abstract: Disk-backed array techniques can, in some implementations, help ensure that the arrays contain consistent data. An alert can be provided if it is determined that the data in the array is, or may be, corrupted.

Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).

Abstract: Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.

Abstract: The present disclosure describes a data indexing and search service that resides locally on a computing device (e.g., a mobile phone) and that can host data for multiple applications on the device. By centralizing the storage of data as well as the search and query functions, unified search queries can be performed by the service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for storing data on in a storage medium. In one aspect, a method includes receiving a key-value pair including a key k and a value v. The method further includes encoding the key-value pair as (i) a first key-value pair including a first key k1 and first value v1, and (ii) a second key-value pair including a second key k2. The method further includes inserting the first key-value pair and the second key-value pair in a trie.

Abstract: Disk-backed array techniques can, in some implementations, help ensure that the arrays contain consistent data. An alert can be provided if it is determined that the data in the array is, or may be, corrupted.

Abstract: In general, this disclosure is directed to techniques for outputting, by a computing device and for display at a display component that is operatively coupled to the computing device, a graphical user interface of an application. The computing device determines context data from content included in the graphical user interface. The computing device further determines, based at least in part on the context data, an indication of assistance that is contextually related to the content included in the graphical user interface. The computing device outputs the indication of the assistance.

Abstract: A document analysis system analyzes a corpus of documents and automatically generates a dictionary of specialized phrases not already in conventional dictionaries. The dictionary generation process involves a series of operations on the phrases to identify the phrases most suitable for inclusion in a dictionary, such as phrase scoring and phrase clustering. The dictionary generation process also comprises the identification of one or more corresponding definitions for the various phrases identified for inclusion in the specialized dictionary.

Abstract: Disk-backed array techniques can, in some implementations, help ensure that the arrays contain consistent data. An alert can be provided if it is determined that the data in the array is, or may be, corrupted.

Abstract: A data structure includes three arrays. A first array includes a root node, one or more intermediate nodes, and one or more leaf nodes. A second array includes one or more slices, each of which includes one or more elements; a third array also includes one or more elements. Each root node and intermediate node in the first array points to a respective slice in the second array. Each element in the second array stores a byte and has an associated pointer that points either to a respective intermediate node or to a respective leaf node in the first array. Each leaf node in the first array points to a respective element in the third array, and each element in the third array stores a respective sub-string of bytes. The trie can be particularly advantageous, for example, in applications on resource-constrained computing devices, such as mobile phones, tablets, and other hand-held computing devices.