FACILITATION OF OFFLINE SEMANTIC PROCESSING IN A RESOURCE-CONSTRAINED DEVICE
    1.
    发明申请
    FACILITATION OF OFFLINE SEMANTIC PROCESSING IN A RESOURCE-CONSTRAINED DEVICE 审中-公开
    促进资源受限设备的离线语义处理

    公开(公告)号:WO2017146803A1

    公开(公告)日:2017-08-31

    申请号:PCT/US2016/066619

    申请日:2016-12-14

    Applicant: GOOGLE INC.

    Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements in order to facilitate offline semantic processing in the resource-constrained voice-enabled device. In various implementations, a query issued at a resource-constrained device may be semantically processed to identify candidate responsive actions that are performable by the resource-constrained device. Candidate responsive action performance statistics may be analyzed to select, from the one or more candidate responsive actions, a qualifying responsive action. In various implementations, the candidate responsive action performance statistics may relate to performance of the one or more candidate responsive actions by the resource-constrained device following issuance of the query. An offline grammar model stored in the resource-constrained device may be updated to include a mapping between the issued query and the qualifying responsive action, wherein the offline grammar model maps queries to actions that are performable by the resource-constrained device while offline.

    Abstract translation: 资源受限的启用语音的设备(例如移动设备)的离线语义处理器利用具有减少的资源需求的离线语法模型,以促进资源受限的启用语音的语义处理 设备。 在各种实现中,可以对在资源受限设备处发出的查询进行语义处理,以识别可由资源受限设备执行的候选响应动作。 可以分析候选人响应行为表现统计,以从一个或多个候选人响应行为中选择合格的响应行为。 在各种实现中,候选人响应行为表现统计可以涉及资源受限设备在发出查询之后对一个或多个候选人响应行为的表现。 存储在资源受限设备中的离线语法模型可以被更新以包括发出的查询与合格的响应动作之间的映射,其中离线语法模型将查询映射到资源受限设备在离线时可执行的动作。 / p>

    CONTEXT-SENSITIVE DYNAMIC UPDATE OF VOICE TO TEXT MODEL IN A VOICE-ENABLED ELECTRONIC DEVICE
    2.
    发明申请
    CONTEXT-SENSITIVE DYNAMIC UPDATE OF VOICE TO TEXT MODEL IN A VOICE-ENABLED ELECTRONIC DEVICE 审中-公开
    语音启发式电子设备中语音模式的语境动态更新

    公开(公告)号:WO2016191318A1

    公开(公告)日:2016-12-01

    申请号:PCT/US2016/033657

    申请日:2016-05-20

    Applicant: GOOGLE INC.

    Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

    Abstract translation: 由启用语音的电子设备使用的语音到文本模型是动态地并且以更新的上下文敏感方式进行,以便于识别用户在定向到支持语音的电子设备的语音输入中潜在地可以说出的实体。 语音到文本模型的动态更新可以例如基于语音输入的第一部分的处理来执行,例如基于特定类型的语音动作的检测,并且可以被定位以便于识别 可能发生在相同语音输入的较后部分中的实体,例如与与检测到的语音动作类型相关联的一个或多个参数特别相关的实体。

    LIST ACCUMULATION AND REMINDER TRIGGERING
    4.
    发明申请
    LIST ACCUMULATION AND REMINDER TRIGGERING 审中-公开
    列表累积和提醒触发

    公开(公告)号:WO2015200042A1

    公开(公告)日:2015-12-30

    申请号:PCT/US2015/035990

    申请日:2015-06-16

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/30598 G06Q10/109

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for list accumulation and reminder triggering. In one aspect, a method includes receiving, at a data processing apparatus, a first input comprising a plurality of terms; determining, by the data processing apparatus, that one or more of the terms in the first input specify an item that belongs to a reminder category, the reminder category being associated with a collection of items that belong to the category and for which reminders may be generated; and in response to the determination, storing data that associates a reminder type with the item specified by the one or more terms.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于列表累积和提醒触发。 一方面,一种方法包括在数据处理装置处接收包括多个项的第一输入; 由数据处理装置确定第一输入中的一个或多个术语指定属于提醒类别的项目,提醒类别与属于该类别的项目的集合相关联,并且提醒可以是 生成的; 并且响应于所述确定,存储将提醒类型与由所述一个或多个术语指定的项目相关联的数据。

    DYNAMICALLY UPDATABLE OFFLINE GRAMMAR MODEL FOR RESOURCE-CONSTRAINED OFFLINE DEVICE
    5.
    发明申请
    DYNAMICALLY UPDATABLE OFFLINE GRAMMAR MODEL FOR RESOURCE-CONSTRAINED OFFLINE DEVICE 审中-公开
    用于资源约束的离线设备的动态更新的离线灰度模型

    公开(公告)号:WO2016191313A1

    公开(公告)日:2016-12-01

    申请号:PCT/US2016/033649

    申请日:2016-05-20

    Applicant: GOOGLE INC.

    Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.

    Abstract translation: 诸如移动设备的资源受限制的语音设备的离线语义处理器利用具有减少的资源需求的离线语法模型来解析由设备接收的基于语音的查询。 离线语法模型可以由在线基于语音的查询处理器使用的较大且更全面的语法模型生成,并且离线语法模型的生成可以基于从一个或多个用户收集的查询使用数据,以使得子集 来自在线语法模型的更流行的基于语音的查询将被并入到离线语法模型中。 此外,这样的设备可以收集查询使用数据并且将这样的数据上传到在线服务以使得更新的离线语法模型被生成并被下载回设备,从而使得能够执行离线语法模型的动态更新。

    PROVIDING FACTUAL SUGGESTIONS WITHIN A DOCUMENT
    6.
    发明申请
    PROVIDING FACTUAL SUGGESTIONS WITHIN A DOCUMENT 审中-公开
    在文件中提供实际建议

    公开(公告)号:WO2015175337A1

    公开(公告)日:2015-11-19

    申请号:PCT/US2015/029872

    申请日:2015-05-08

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/24 G06F17/278 G06F17/30477 G06F17/30637

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document, and wherein the document includes prior text that was included in the document prior to the textual input; identifying an entity based on entity text included in the textual input; identifying an attribute of the entity based on attribute text included in the textual input; generating a query specifying the entity and the attribute; providing the query to a search system that provides a result value for the attribute of the entity included in the query; and providing the result value to the user device as a suggestion for inclusion in the document.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于在文档内提供建议。 一方面,一种方法包括获得由用户设备提供给文档编辑应用的文本输入,文本输入被提供给文档编辑应用以便包含在文档中,并且其中该文档包括被包括在该文档中的先前文本 在文字输入之前; 基于文本输入中包含的实体文本识别实体; 基于文本输入中包含的属性文本识别实体的属性; 生成指定实体和属性的查询; 向查询系统提供查询,该搜索系统为查询中包括的实体的属性提供结果值; 并将结果值提供给用户设备作为包含在文档中的建议。

    LOCAL PERSISTING OF DATA FOR SELECTIVELY OFFLINE CAPABLE VOICE ACTION IN A VOICE-ENABLED ELECTRONIC DEVICE
    7.
    发明申请
    LOCAL PERSISTING OF DATA FOR SELECTIVELY OFFLINE CAPABLE VOICE ACTION IN A VOICE-ENABLED ELECTRONIC DEVICE 审中-公开
    在语音启动的电子设备中本地备份数据,用于选择性离线能力语音操作

    公开(公告)号:WO2016191319A1

    公开(公告)日:2016-12-01

    申请号:PCT/US2016/033658

    申请日:2016-05-20

    Applicant: GOOGLE INC.

    CPC classification number: G10L17/22 G10L15/30 H04L67/42

    Abstract: Data associated with a selectively offline capable voice action is locally persisted in a voice-enabled electronic device whenever such an action cannot be competed locally due to the device being offline to enable the action to later be completed after online connectivity has been restored. Synchronization with an online service and/or another electronic device, and/or retrieval of context sensitive data from an online service may be performed after online connectivity has been restored to enable the voice action to thereafter be completed.

    Abstract translation: 与选择性离线功能的语音动作相关联的数据,只要这种动作由于设备脱机而无法在本地进行竞争,就会本地保留在支持语音的电子设备中,以便在线路连接恢复后,使之能够完成。 可以在恢复在线连接之后执行与在线服务和/或另一电子设备的同步,和/或从在线服务检索上下文敏感数据,以使之能够完成语音动作。

    DETOUR BASED CONTENT SELECTIONS
    8.
    发明申请
    DETOUR BASED CONTENT SELECTIONS 审中-公开
    基于内容的内容选择

    公开(公告)号:WO2015200036A1

    公开(公告)日:2015-12-30

    申请号:PCT/US2015/035972

    申请日:2015-06-16

    Applicant: GOOGLE INC.

    Abstract: Methods, systems, and apparatus, for detour based content selection. In one aspect, a method includes receiving, at a data processing apparatus, location data for a plurality of users, the location data describing, for each user, locations of a user device of the user; determining, from the location data, route data for the plurality of users, the route data describing, for each user, a route traveled by the user; determining, by the data processing apparatus, for at least one or more of the users, a detour from the route traveled by the user to a retail location of the offeror; determining, by the data processing apparatus, for each of the at least one or more of the users, whether the user is eligible for an offer of the offeror based on the detour; and for each user eligible for an offer, enabling the offeror to provide an offer to the user.

    Abstract translation: 方法,系统和装置,用于基于绕行的内容选择。 一方面,一种方法包括在数据处理设备处接收多个用户的位置数据,所述位置数据针对每个用户描述用户的用户设备的位置; 从所述位置数据确定所述多个用户的路线数据,所述路线数据针对每个用户描述由所述用户行进的路线; 由所述数据处理装置为所述至少一个或多个用户确定从所述用户行进到所述提供者的零售位置的路线的绕行; 由所述数据处理装置确定所述至少一个或多个所述用户中的每个用户,所述用户是否有资格基于绕行提供所述要约者的要约; 并且对于符合要约的每个用户,使提供者能够向用户提供报价。

    UPDATING TEXT WITHIN A DOCUMENT
    9.
    发明申请
    UPDATING TEXT WITHIN A DOCUMENT 审中-公开
    在文档中更新文本

    公开(公告)号:WO2015175338A1

    公开(公告)日:2015-11-19

    申请号:PCT/US2015/029873

    申请日:2015-05-08

    Applicant: GOOGLE INC.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for updating text within a document. In one aspect, a method includes identifying an entity based on entity text included in document text of a document; identifying a time-sensitive attribute for the entity based on attribute text included in the document text; identifying a first value for the time-sensitive attribute based on value text included in the document text; generating a query specifying the entity; providing the query to a search system that provides a result value for the time-sensitive attribute of the entity included in the query; and providing, to a user device that is currently accessing the document, result data that causes presentation of the result value as a replacement for the first value.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于更新文档内的文本。 一方面,一种方法包括基于包含在文档的文档文本中的实体文本识别实体; 基于文本文本中包含的属性文本识别实体的时间敏感属性; 基于文本文本中包含的值文本来识别时间敏感属性的第一值; 生成指定实体的查询; 向查询系统提供查询,该搜索系统为查询中包括的实体的时间敏感属性提供结果值; 以及向当前正在访问所述文档的用户设备提供导致所述结果值的呈现作为所述第一值的替换的结果数据。

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