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    Query Rewrite Corrections
    11.
    发明申请
    Query Rewrite Corrections 有权
    查询重写更正

    公开(公告)号：US20160063994A1

    公开(公告)日：2016-03-03

    申请号：US14812811

    申请日：2015-07-29

    Applicant: Google Inc.

    Inventor： Gleb Skobeltsyn ,  Evgeny A. Cherepanov ,  Behshad Behzadi

    IPC: G10L15/08 ,  G06F17/27 ,  G06F17/30

    CPC classification number: G10L15/22 ,  G06F17/271 ,  G06F17/2765 ,  G06F17/30654 ,  G06F17/30663 ,  G06F17/30746 ,  G10L15/01 ,  G10L15/08 ,  G10L15/187 ,  G10L2015/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for natural language processing. One of the methods includes receiving a first voice query; generating a first recognition output; receiving a second voice query; determining from a recognition of the second voice query that the second voice query triggers a correction request; using the first recognition output and the second recognition to determine a plurality of candidate corrections; scoring each candidate correction; and generating a corrected recognition output for a particular candidate correction having a score that satisfies a threshold 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，用于自然语言处理。 其中一种方法包括接收第一语音查询; 产生第一识别输出; 接收第二个语音查询; 从所述第二语音查询的识别确定所述第二语音查询触发校正请求; 使用所述第一识别输出和所述第二识别来确定多个候选校正; 对每个候选人进行校正; 以及生成具有满足阈值的分数的特定候选校正的校正识别输出。

    ENTITY NAME RECOGNITION
    12.
    发明申请
    ENTITY NAME RECOGNITION 有权
    实体名称识别

    公开(公告)号：US20150371632A1

    公开(公告)日：2015-12-24

    申请号：US14639199

    申请日：2015-03-05

    Applicant: Google Inc.

    Inventor： Gleb Skobeltsyn ,  Behshad Behzadi

    IPC: G10L15/187

    CPC classification number: G10L15/187 ,  G10L15/1815 ,  G10L15/26 ,  G10L2015/088 ,  G10L2015/228

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recognizing names of entities in speech. In one aspect, a method includes actions of receiving an utterance that includes (i) a first term that indicates a particular entity type, and (ii) a second term that indicates an entity name. Additional actions include obtaining a phonetic representation of the second term and determining that the phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity. Further actions include outputting a reference name associated with the particular entity as a transcription of the second term.

    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，用于识别语音中实体的名称。 一方面，一种方法包括接收包括（i）指示特定实体类型的第一项和（ii）指示实体名称的第二项的话语的动作。 附加动作包括获得第二项的语音表示，并且确定第二项的语音表示符合与特定实体相关联的一组规范名称的特定规范名称的特定语音表示。 进一步的动作包括输出与特定实体相关联的参考名称作为第二项的转录。

    Query refinements using search data
    13.
    发明授权
    Query refinements using search data 有权
    使用搜索数据进行查询优化

    公开(公告)号：US09116952B1

    公开(公告)日：2015-08-25

    申请号：US13906889

    申请日：2013-05-31

    Applicant: Google Inc.

    Inventor： Matthias Heiler ,  Behshad Behzadi ,  Evgeny A. Cherepanov ,  Nils Grimsmo ,  Aurelien Boffy ,  Alessandro Agostini ,  Karoly Csalogany ,  Fredrik Bergenlid ,  Marcin M. Nowak-Przygodzki

    IPC: G06F17/30

    CPC classification number: G06F17/30401 ,  G06F17/30345 ,  G06F17/30395 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30672 ,  G06F17/30867 ,  G06F17/30973

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query refinements using search data. In one aspect, a method includes receiving a first query and a second query each comprising one or more n-grams for a user session, determining a first set of query refinements for the first query, determining a second set of query refinements from the first set of query refinements, each query refinement in the second set of query refinements including at least one n-gram that is similar to an n-gram from the first query and at least on n-gram that is similar to an n-gram from the second query, scoring each query refinement in the second set of query refinements, selecting a third query from a group consisting of the second set of query refinements and the second query, and providing the third query as input to a search operation.

    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，用于使用搜索数据确定查询改进。 在一个方面，一种方法包括接收第一查询和第二查询，每个查询包括用于用户会话的一个或多个n克，确定第一查询的第一组查询改进，从第一查询确定第二组查询优化 一组查询优化，每个查询细化在第二组查询优化中，包括至少一个类似于来自第一个查询的n-gram的n-gram，以及至少与n-gram相似的n-gram， 第二查询，对第二组查询细化中的每个查询细化进行评分，从由第二组查询优化和第二查询组成的组中选择第三查询，以及将第三查询作为输入提供给搜索操作。

    Incorporating selectable application links into message exchange threads
    15.
    发明授权
    Incorporating selectable application links into message exchange threads 有权

    公开(公告)号：US10263933B2

    公开(公告)日：2019-04-16

    申请号：US15157279

    申请日：2016-05-17

    Applicant: Google Inc.

    Inventor： Tilke Judd ,  Yariv Adan ,  Zaheed Sabur ,  Behshad Behzadi ,  Lucas Mirelmann ,  Jan Lamecki ,  Dhruv Bakshi

    IPC: H04L12/58 ,  H04L29/08 ,  G06Q10/10 ,  G06F17/22 ,  G06F17/30 ,  G06F3/0482 ,  G06F17/24 ,  H04W4/02 ,  H04W4/12

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for incorporating application links into message exchange threads. One or more cues emanating from a message exchange thread involving two or more message exchange clients may be detected. The one or more cues may trigger incorporation, into the message exchange thread, of a selectable link to a distinct application. At least one candidate application that is installed on a given client computing device operated by a message exchange thread participant may be identified. The candidate application may be associated with content of the message exchange thread. A selectable link may be incorporated into a transcript of the message exchange thread displayed in a graphical user interface of a message exchange client operating on the given client computing device. The selectable link may be operable by the participant to expose to the participant an interface associated with a respective candidate application.

    Entity name recognition based on entity type
    17.
    发明授权
    Entity name recognition based on entity type 有权

    公开(公告)号：US09773499B2

    公开(公告)日：2017-09-26

    申请号：US14639199

    申请日：2015-03-05

    Applicant: Google Inc.

    Inventor： Gleb Skobeltsyn ,  Behshad Behzadi

    IPC: G10L15/187 ,  G10L15/26 ,  G10L15/18 ,  G10L15/22 ,  G10L15/08

    CPC classification number: G10L15/187 ,  G10L15/1815 ,  G10L15/26 ,  G10L2015/088 ,  G10L2015/228

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recognizing names of entities in speech. In one aspect, a method includes actions of receiving an utterance that includes (i) a first term that indicates a particular entity type, and (ii) a second term that indicates an entity name. Additional actions include obtaining a phonetic representation of the second term and determining that the phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity. Further actions include outputting a reference name associated with the particular entity as a transcription of the second term.

    Contextual improvement of voice query recognition
    19.
    发明授权
    Contextual improvement of voice query recognition 有权
    语音查询识别的语境改进

    公开(公告)号：US09576578B1

    公开(公告)日：2017-02-21

    申请号：US14824902

    申请日：2015-08-12

    Applicant: Google Inc.

    Inventor： Gleb Skobeltsyn ,  Alexandru Ovidiu Dovlecel ,  Carl-Anton Ingmarsson ,  Martin Baeuml ,  Behshad Behzadi ,  Dmitry Osmakov

    IPC: G10L15/26 ,  G10L15/08 ,  G06F17/30

    CPC classification number: G10L15/26 ,  G06F17/30684 ,  G06F17/30746 ,  G10L15/22 ,  G10L2015/226

    Abstract: Methods, including computer programs encoded on a computer storage medium, for collaborative language model biasing. In one aspect, a method includes: obtaining (i) one or more initial candidate transcriptions, and (ii) one or more terms that are associated with a context; selecting one or more of the terms that are associated with the context, and that (i) do not occur in the candidate transcriptions, and (ii) are indicated as phonetically similar to one or more terms that do occur in the initial candidate transcriptions; generating one or more additional candidate transcriptions based on the (i) initial candidate transcriptions, and (ii) the selected terms; and providing the one or more additional candidate transcriptions to an automated speech recognizer.

    Abstract translation: 方法，包括在计算机存储介质上编码的计算机程序，用于协作语言模型偏移。 一方面，一种方法包括：获得（i）一个或多个初始候选转录，以及（ii）与上下文相关联的一个或多个术语; 选择与上下文相关联的一个或多个术语，并且（i）不在候选转录中发生，并且（ii）被表示为与在初始候选转录中确实发生的一个或多个术语的语音相似; 基于（i）初始候选转录，和（ii）所选择的术语生成一个或多个另外的候选转录; 以及将一个或多个附加候选转录提供给自动语音识别器。

    Query rewrite corrections
    20.
    发明授权
    Query rewrite corrections 有权
    查询重写更正

    公开(公告)号：US09514743B2

    公开(公告)日：2016-12-06

    申请号：US14812811

    申请日：2015-07-29

    Applicant: Google Inc.

    Inventor： Gleb Skobeltsyn ,  Evgeny A. Cherepanov ,  Behshad Behzadi

    IPC: G10L15/00 ,  G10L15/08 ,  G10L15/22 ,  G06F17/30 ,  G06F17/27

    CPC classification number: G10L15/22 ,  G06F17/271 ,  G06F17/2765 ,  G06F17/30654 ,  G06F17/30663 ,  G06F17/30746 ,  G10L15/01 ,  G10L15/08 ,  G10L15/187 ,  G10L2015/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for natural language processing. One of the methods includes receiving a first voice query; generating a first recognition output; receiving a second voice query; determining from a recognition of the second voice query that the second voice query triggers a correction request; using the first recognition output and the second recognition to determine a plurality of candidate corrections; scoring each candidate correction; and generating a corrected recognition output for a particular candidate correction having a score that satisfies a threshold 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，用于自然语言处理。 其中一种方法包括接收第一语音查询; 产生第一识别输出; 接收第二个语音查询; 从所述第二语音查询的识别确定所述第二语音查询触发校正请求; 使用所述第一识别输出和所述第二识别来确定多个候选校正; 对每个候选人进行校正; 以及生成具有满足阈值的分数的特定候选校正的校正识别输出。

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