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公开(公告)号：US20150186738A1
公开(公告)日：2015-07-02
申请号：US14142967
申请日：2013-12-30
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Dmitriy Genzel , Ashok Chhabedia Popat
CPC classification number: G06K9/723 , G06F17/22 , G06K2209/013
Abstract: Methods and systems for grapheme splitting of text input for recognition are provided. A method may include receiving a text input in a script and segmenting the text input into one or more graphemes. Each of the one or more graphemes may be split into one or more recognition units based on one or more recognition unit identification criteria associated with the script. Next, a text recognition system may be trained using the recognition units. Text input may be handwritten text input received from a user or a scanned image of text.
Abstract translation: 提供了用于识别文本输入的图形分割的方法和系统。 方法可以包括在脚本中接收文本输入并将文本输入分割成一个或多个字形。 基于与脚本相关联的一个或多个识别单元识别标准，一个或多个字形中的每一个可以被分割成一个或多个识别单元。 接下来，可以使用识别单元来训练文本识别系统。 文本输入可以是从用户接收的手写文本输入或文本的扫描图像。
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公开(公告)号：US20140188742A1
公开(公告)日：2014-07-03
申请号：US13843144
申请日：2013-03-15
Applicant: Google Inc.
Inventor： Thomas Deselaers , Damon Kohler , Daniel Martin Keysers , Matthew Sharifi , Richard Zarek Cohen , Benoit Boissinot , Stephan Robert Gammeter
CPC classification number: G06Q30/0282 , G06Q50/01
Abstract: A method for displaying an aggregate count of endorsements is provided, including the following method operations: processing a request for an online resource from a mobile device, the online resource being associated with an object, the online resource including an endorsement mechanism; sending the online resource to the mobile device; processing an input from a user triggering the endorsement mechanism, to define an endorsement of the object by the user; updating an aggregate count of endorsements of the object to include the endorsement of the object by the user; sending the updated aggregate count of endorsements to the social display device for display on the social display device.
Abstract translation: 提供一种用于显示认可的总计数的方法，包括以下方法操作：处理来自移动设备的在线资源的请求，所述在线资源与对象相关联，所述在线资源包括认可机制; 将在线资源发送到移动设备; 处理来自用户触发认可机制的输入，以定义用户对该对象的认可; 更新对象的认可的总计数以包括用户对对象的认可; 将更新的认可总计数发送到社交显示设备以在社交显示设备上显示。
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公开(公告)号：US08510764B1
公开(公告)日：2013-08-13
申请号：US13667572
申请日：2012-11-02
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Keysers
IPC: G06F13/00
CPC classification number: G06F9/485
Abstract: A first application running on an electronic device may receive a first request that was triggered by a second application running on the electronic device. In response to the first request, the first application may provide a token that corresponds to a state of the first application at the time of receiving the first request. In response to receiving—after the state of the first application has changed—a second request that comprises the previously-provided token, the first application may return to the state that it was in at the time of the first request.
Abstract translation: 在电子设备上运行的第一应用可以接收由在电子设备上运行的第二应用程序触发的第一请求。 响应于第一请求，第一应用可以在接收到第一请求时提供对应于第一应用的状态的令牌。 响应于在第一应用的状态已经改变之后的接收 - 包括先前提供的令牌的第二请求，第一应用可以返回到在第一请求时它处于的状态。
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公开(公告)号：US20180182397A1
公开(公告)日：2018-06-28
申请号：US15387884
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Victor Carbune , Pedro Gonnet Anders , Thomas Deselaers , Sandro Feuz
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboration between multiple voice controlled devices are disclosed. In one aspect, a method includes the actions of identifying, by a first computing device, a second computing device that is configured to respond to a particular, predefined hotword; receiving audio data that corresponds to an utterance; receiving a transcription of additional audio data outputted by the second computing device in response to the utterance; based on the transcription of the additional audio data and based on the utterance, generating a transcription that corresponds to a response to the additional audio data; and providing, for output, the transcription that corresponds to the response.
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公开(公告)号：US20180137400A1
公开(公告)日：2018-05-17
申请号：US15349037
申请日：2016-11-11
Applicant: Google Inc.
Inventor： Thomas Deselaers , Victor Carbune , Pedro Gonnet Anders , Daniel Martin Keysers
CPC classification number: G06N3/0445
Abstract: The present disclosure provides systems and methods that leverage machine-learned models (e.g., neural networks) to provide enhanced communication assistance. In particular, the systems and methods of the present disclosure can include or otherwise leverage a machine-learned communication assistance model to detect problematic statements included in a communication and/or provide suggested replacement statements to respectively replace the problematic statements. In one particular example, the communication assistance model can include a long short-term memory recurrent neural network that detects an inappropriate tone or unintended meaning within a user-composed communication and provides one or more suggested replacement statements to replace the problematic statements.
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Patent Agency Ranking
公开(公告)号：US20170061291A1
公开(公告)日：2017-03-02
申请号：US14836113
申请日：2015-08-26
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Abraham Murray , Shumin Zhai
IPC: G06N5/04 , G06F3/0488 , G06K9/00
CPC classification number: G06N5/04 , G06F3/0237 , G06F3/04883 , G06F3/04886 , G06K9/00402
Abstract: A computing device is described that receives first input, at an initial time, of a first textual character and a second input, at a subsequent time, of a second textual character. The computing device determines, based on the first and second textual characters, a first character sequence that does not include a space character between the first and second textual characters and a second character sequence that includes the space character between the first and second textual characters. The computing device determines a first score associated with the first character sequence and a second score associated with the second character sequence. The computing device adjusts, based on a duration of time between the initial and subsequent times, the second score to determine a third score, and responsive to determining that the third score exceeds the first score, the computing device outputs the second character sequence.
Abstract translation: 描述了在初始时间接收第二文本字符的第一文本字符和第二输入的第二输入的计算设备。 计算设备基于第一和第二文本字符确定不包括第一和第二文本字符之间的空格字符的第一字符序列和包括第一和第二文本字符之间的空格字符的第二字符序列。 计算设备确定与第一字符序列相关联的第一得分和与第二字符序列相关联的第二分数。 计算设备基于初始和随后时间之间的持续时间来调整第二分数以确定第三分数，并且响应于确定第三分数超过第一分数，计算设备输出第二字符序列。
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公开(公告)号：US09536180B2
公开(公告)日：2017-01-03
申请号：US14142967
申请日：2013-12-30
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Dmitriy Genzel , Ashok Chhabedia Popat
CPC classification number: G06K9/723 , G06F17/22 , G06K2209/013
Abstract: Methods and systems for grapheme splitting of text input for recognition are provided. A method may include receiving a text input in a script and segmenting the text input into one or more graphemes. Each of the one or more graphemes may be split into one or more recognition units based on one or more recognition unit identification criteria associated with the script. Next, a text recognition system may be trained using the recognition units. Text input may be handwritten text input received from a user or a scanned image of text.
Abstract translation: 提供了用于识别文本输入的图形分割的方法和系统。 方法可以包括在脚本中接收文本输入并将文本输入分割成一个或多个字形。 基于与脚本相关联的一个或多个识别单元识别标准，一个或多个字形中的每一个可以被分割成一个或多个识别单元。 接下来，可以使用识别单元来训练文本识别系统。 文本输入可以是从用户接收的手写文本输入或文本的扫描图像。
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公开(公告)号：US20160300573A1
公开(公告)日：2016-10-13
申请号：US14681408
申请日：2015-04-08
Applicant: Google Inc.
Inventor： Victor Carbune , Daniel M. Keysers , Thomas Deselaers
CPC classification number: G10L15/26 , G06F17/243 , G10L15/193 , G10L17/22 , G10L25/48
Abstract: In some implementations, user input is received while a form that includes text entry fields is being accessed. In one aspect, a process may include mapping user input to fields of a form and populating the fields of the form with the appropriate information. This process may allow a user to fill out a form using speech input, by generating a transcription of input speech, determining a field that best corresponds to each portion of the speech, and populating each field with the appropriate information.
Abstract translation: 在一些实现中，接收用户输入，而正在访问包括文本输入字段的表单。 在一个方面，过程可以包括将用户输入映射到表单的字段并且用适当的信息填充表单的字段。 该过程可以允许用户使用语音输入来填写表单，通过生成输入语音的转录，确定与语音的每个部分最佳对应的字段，以及用适当的信息填充每个字段。
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公开(公告)号：US20160098595A1
公开(公告)日：2016-04-07
申请号：US14967901
申请日：2015-12-14
Applicant: Google Inc.
Inventor： Daniel M. Keysers , Thomas Deselaers , Henry Allan Rowley
CPC classification number: G06K9/00422 , G06K9/00 , G06K9/00402 , G06K9/00865 , G06K9/52 , G06K2209/01
Abstract: An optimal recognition for handwritten input based on receiving a touch input from a user may be selected by applying both a delayed stroke recognizer as well as an overlapping recognizer to the handwritten input. A score may be generated for both the delayed stroke recognition as well as the overlapping recognition and the recognition corresponding to the highest score may be presented as the overall recognition.
Abstract translation: 可以通过将延迟的笔画识别器以及重叠识别器同时应用于手写输入来选择基于从用户接收触摸输入的手写输入的最佳识别。 可以为延迟的卒中识别以及重叠识别生成分数，并且对应于最高分数的识别可以被呈现为整体识别。
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公开(公告)号：US20150235097A1
公开(公告)日：2015-08-20
申请号：US14184997
申请日：2014-02-20
Applicant: Google Inc.
Inventor： Li-Lun Wang , Thomas Deselaers , Henry Allan Rowley
CPC classification number: G06K9/00865 , G06K9/00402 , G06K9/222 , G06K9/342 , G06K9/4604 , G06K9/6256 , G06K9/66 , G06N99/005
Abstract: Techniques are provided for segmenting an input by cut point classification and training a cut classifier. A method may include receiving, by a computerized text recognition system, an input in a script. A heuristic may be applied to the input to insert multiple cut points. For each of the cut points, a probability may be generated and the probability may indicate a likelihood that the cut point is correct. Multiple segments of the input may be selected, and the segments may be defined by cut points having a probability over a threshold. Next, the segments of the input may be provided to a character recognizer. Additionally, a method may include training a cut classifier using a machine learning technique, based on multiple text training examples, to determine the correctness of a cut point in an input.
Abstract translation: 提供了通过切点分类对输入进行分割和训练切分分类器的技术。 方法可以包括通过计算机化的文本识别系统接收脚本中的输入。 可以将启发式应用于输入以插入多个切割点。 对于每个切割点，可以产生概率，并且概率可以指示切割点是正确的可能性。 可以选择输入的多个段，并且可以通过具有超过阈值的概率的切点来定义段。 接下来，可以将输入的段提供给字符识别器。 另外，一种方法可以包括基于多个文本训练示例使用机器学习技术来训练切割分类器，以确定输入中的切割点的正确性。
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