公开(公告)号：US09484020B2

公开(公告)日：2016-11-01

申请号：US14468442

申请日：2014-08-26

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G. Rahim

IPC: G06F17/27 ,  G10L15/06

CPC classification number: G10L15/063 ,  G06F17/271 ,  G06F17/277 ,  G10L2015/0635

Abstract: A clausifier for extracting clauses for spoken language understanding is disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

Abstract translation: 公开了一种用于提取语言理解条款的语言。 该方法涉及从语音话语文本生成一组子句，并且包括在与句子边界相关的语音话语文本中插入至少一个边界标签，插入至少一个编辑标签，该编辑标签指示语音话语文本的一部分以去除并插入 讲话话语文本内的至少一个连接标签。 结果是可以根据插入的至少一个边界标签，至少一个编辑标签和至少一个连接标签在语音发音文本内识别的一组子句。 所公开的分类器包括句子边界分类器，编辑检测器分类器和连接检测器分类器。 克隆器可以包括单个分类器或多个分类器，以执行识别句子边界，编辑文本以及识别文本内的连词的步骤。

公开(公告)号：US20160295292A1

公开(公告)日：2016-10-06

申请号：US15187151

申请日：2016-06-20

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore ,  David Crawford Gibbon ,  Mazin Gilbert ,  Patrick Guy Haffner ,  Zhu Liu ,  Behzad Shahraray

IPC: H04N21/485 ,  H04N21/488 ,  H04N21/2543 ,  G10L21/10 ,  G06F17/28

CPC classification number: H04N21/4856 ,  G06F17/289 ,  G10L21/10 ,  H04N7/0885 ,  H04N7/17336 ,  H04N21/2355 ,  H04N21/2543 ,  H04N21/25435 ,  H04N21/4355 ,  H04N21/440236 ,  H04N21/4882 ,  H04N21/4884 ,  H04N21/8193

Abstract: A method, a system and a machine-readable medium are provided for an on demand translation service. A translation module including at least one language pair module for translating a source language to a target language may be made available for use by a subscriber. The subscriber may be charged a fee for use of the requested on demand translation service or may be provided use of the on demand translation service for free in exchange for displaying commercial messages to the subscriber. A video signal may be received including information in the source language, which may be obtained as text from the video signal and may be translated from the source language to the target language by use of the translation module. Translated information, based on the translated text, may be added into the received video signal.

Abstract translation: 为按需翻译服务提供方法，系统和机器可读介质。 包括用于将源语言翻译成目标语言的至少一个语言对模块的翻译模块可以被用户使用。 用户可能会收取使用所请求的按需翻译服务的费用，或者可以免费使用按需翻译服务，以便向用户显示商业消息。 可以接收包括源语言的信息的视频信号，其可以从视频信号获取为文本，并且可以通过使用翻译模块从源语言转换为目标语言。 基于翻译文本的翻译信息可以被添加到接收的视频信号中。

公开(公告)号：US08949132B2

公开(公告)日：2015-02-03

申请号：US14224644

申请日：2014-03-25

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore ,  Junlan Feng ,  Mazin G. Rahim

IPC: G10L15/18 ,  G10L21/00 ,  G06F17/27 ,  G10L25/00 ,  G10L13/08 ,  G10L15/06 ,  H04M3/493 ,  G10L15/22 ,  G10L15/183

CPC classification number: G10L13/08 ,  G06F17/27 ,  G10L15/063 ,  G10L15/183 ,  G10L15/22 ,  H04M3/4936

Abstract: Disclosed is a method for training a spoken dialog service component from website data. Spoken dialog service components typically include an automatic speech recognition module, a language understanding module, a dialog management module, a language generation module and a text-to-speech module. The method includes selecting anchor texts within a website based on a term density, weighting those anchor texts based on a percent of salient words to total words, and incorporating the weighted anchor texts into a live spoken dialog interface, the weights determining a level of incorporation into the live spoken dialog interface.

Abstract translation: 公开了一种从网站数据训练口语对话服务组件的方法。 口语对话服务组件通常包括自动语音识别模块，语言理解模块，对话管理模块，语言生成模块和文本到语音模块。 该方法包括基于术语密度选择网站内的锚文本，基于显着词的百分比将总计文本加权到总词，并将加权的锚文本加入到现场语音对话界面中，权重确定并入级别 进入现场对话界面。

公开(公告)号：US08898202B2

公开(公告)日：2014-11-25

申请号：US13873578

申请日：2013-04-30

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Michael J. Johnston ,  Srinivas Bangalore

IPC: G06F17/30 ,  G06F17/22 ,  G06F17/28 ,  G06F17/27

CPC classification number: G06F3/167 ,  G06F3/017 ,  G06F17/2247 ,  G06F17/2264 ,  G06F17/2775 ,  G06F17/28 ,  Y10S707/99934 ,  Y10S707/99943 ,  Y10S707/99948

Abstract: When using finite-state devices to perform various functions, it is beneficial to use finite state devices representing regular grammars with terminals having markup-language-based semantics. By using markup-language-based symbols in the finite state devices, it is possible to generate valid markup-language expressions by concatenating the symbols representing the result of the performed function. The markup-language expression can be used by other applications and/or devices. Finite-state devices are used to convert strings of words and gestures into valid markup-language, for example, XML, expressions that can be used, for example, to provide an application program interface to underlying system applications.

Abstract translation: 当使用有限状态设备来执行各种功能时，使用表示具有基于标记语言的语义的终端的常规语法的有限状态设备是有益的。 通过在有限状态设备中使用基于标记语言的符号，可以通过连接表示所执行功能的结果的符号来生成有效的标记语言表达。 标记语言表达式可以由其他应用程序和/或设备使用。 有限状态设备用于将字串和手势转换为有效的标记语言，例如XML，可以使用的表达式，例如为基础系统应用程序提供应用程序接口。

公开(公告)号：US20140330555A1

公开(公告)日：2014-11-06

申请号：US14338602

申请日：2014-07-23

Applicant: AT&T INTELLECTUAL PROPERTY II, L.P.

Inventor： Srinivas Bangalore ,  Mazin Gilbert ,  Narendra K. Gupta

IPC: G10L15/183 ,  G10L15/14 ,  G06F17/28

CPC classification number: G10L15/183 ,  G06F17/2818 ,  G10L15/14 ,  G10L15/19

Abstract: Disclosed herein are systems and methods to incorporate human knowledge when developing and using statistical models for natural language understanding. The disclosed systems and methods embrace a data-driven approach to natural language understanding which progresses seamlessly along the continuum of availability of annotated collected data, from when there is no available annotated collected data to when there is any amount of annotated collected data.

Abstract translation: 这里公开的是在开发和使用自然语言理解的统计模型时将人类知识结合在一起的系统和方法。 所公开的系统和方法包含一种数据驱动的自然语言理解方法，其从注释收集的数据的可用性的连续性无缝地进行，从没有可用的注释收集的数据到当有任何数量的注释收集的数据时。

公开(公告)号：US20140074477A1

公开(公告)日：2014-03-13

申请号：US14081166

申请日：2013-11-15

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G. Rahim

IPC: G10L15/02 ,  G06F17/27

CPC classification number: G10L15/1815 ,  G06F17/2785 ,  G10L13/043 ,  G10L15/02 ,  G10L15/1822 ,  G10L15/265

Abstract: A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.

Abstract translation: 公开了一种提高口语对话系统中的自动语音识别的系统和方法。 该方法包括将语音识别器输出划分为独立子句，识别每个自包含子句中的对话行为，通过识别当前域对象和/或当前域动作进行限定对话行为，以及确定是否可进一步限定 对于当前域对象和/或当前域操作。 如果可以进一步鉴定，则该方法包括识别与当前域对象和/或当前域操作相关联的另一域操作和/或另一域对象，将另一域操作和/或另一域对象重新分配为当前域操作，以及 /或当前域对象，然后递归地限定新的当前域操作和/或当前对象。 这个过程一直持续到没有什么是剩下的资格。

公开(公告)号：US20130158998A1

公开(公告)日：2013-06-20

申请号：US13690037

申请日：2012-11-30

Applicant: AT&T INTELLECTUAL PROPERTY II, L.P.

Inventor： Srinivas Bangalore ,  Michael J. Johnston

IPC: G10L15/00

CPC classification number: G10L15/00 ,  G06F3/167 ,  G06K9/00355 ,  G10L15/24

Abstract: Multimodal utterances contain a number of different modes. These modes can include speech, gestures, and pen, haptic, and gaze inputs, and the like. This invention use recognition results from one or more of these modes to provide compensation to the recognition process of one or more other ones of these modes. In various exemplary embodiments, a multimodal recognition system inputs one or more recognition lattices from one or more of these modes, and generates one or more models to be used by one or more mode recognizers to recognize the one or more other modes. In one exemplary embodiment, a gesture recognizer inputs a gesture input and outputs a gesture recognition lattice to a multimodal parser. The multimodal parser generates a language model and outputs it to an automatic speech recognition system, which uses the received language model to recognize the speech input that corresponds to the recognized gesture input.

Abstract translation: 多模式话语包含多种不同的模式。 这些模式可以包括语音，手势和笔，触觉和注视输入等。 本发明使用这些模式中的一个或多个的识别结果为这些模式中的一个或多个其他模式的识别过程提供补偿。 在各种示例性实施例中，多模式识别系统从这些模式中的一个或多个输入一个或多个识别网格，并且生成要由一个或多个模式识别器使用以识别一个或多个其他模式的一个或多个模型。 在一个示例性实施例中，手势识别器输入手势输入并向多模式解析器输出手势识别格点。 多模式解析器生成语言模型并将其输出到自动语音识别系统，其使用所接收的语言模型来识别对应于识别的手势输入的语音输入。

公开(公告)号：US11138391B2

公开(公告)日：2021-10-05

申请号：US16430845

申请日：2019-06-04

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore

IPC: G06F17/15 ,  G06F40/58 ,  G06Q30/02 ,  G06F40/40 ,  G06F40/263 ,  G10L13/08 ,  G06F40/00

Abstract: In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

公开(公告)号：US09563395B2

公开(公告)日：2017-02-07

申请号：US14540131

申请日：2014-11-13

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Michael J. Johnston ,  Srinivas Bangalore

IPC: G06F17/30 ,  G06F3/16 ,  G06F17/22 ,  G06F17/27 ,  G06F17/28 ,  G06F3/01

CPC classification number: G06F3/167 ,  G06F3/017 ,  G06F17/2247 ,  G06F17/2264 ,  G06F17/2775 ,  G06F17/28 ,  Y10S707/99934 ,  Y10S707/99943 ,  Y10S707/99948

Abstract: When using finite-state devices to perform various functions, it is beneficial to use finite state devices representing regular grammars with terminals having markup-language-based semantics. By using markup-language-based symbols in the finite state devices, it is possible to generate valid markup-language expressions by concatenating the symbols representing the result of the performed function. The markup-language expression can be used by other applications and/or devices. Finite-state devices are used to convert strings of words and gestures into valid markup-language, for example, XML, expressions that can be used, for example, to provide an application program interface to underlying system applications.

Abstract translation: 当使用有限状态设备来执行各种功能时，使用表示具有基于标记语言的语义的终端的常规语法的有限状态设备是有益的。 通过在有限状态设备中使用基于标记语言的符号，可以通过连接表示所执行功能的结果的符号来生成有效的标记语言表达。 标记语言表达式可以由其他应用程序和/或设备使用。 有限状态设备用于将字串和手势转换为有效的标记语言，例如XML，可以使用的表达式，例如为基础系统应用程序提供应用程序接口。

公开(公告)号：US09548051B2

公开(公告)日：2017-01-17

申请号：US15014070

申请日：2016-02-03

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas Bangalore ,  Narendra K. Gupta ,  Mazin G. Rahim

IPC: G10L21/00 ,  G06F17/20 ,  G06F17/27 ,  G10L15/18 ,  G10L15/02 ,  G10L13/04 ,  G10L15/26

CPC classification number: G10L15/1815 ,  G06F17/2785 ,  G10L13/043 ,  G10L15/02 ,  G10L15/1822 ,  G10L15/265

Abstract: A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.

Abstract translation: 公开了一种提高口语对话系统中的自动语音识别的系统和方法。 该方法包括将语音识别器输出划分为独立子句，识别每个自包含子句中的对话行为，通过识别当前域对象和/或当前域动作进行限定对话行为，以及确定是否可进行进一步的限定 对于当前域对象和/或当前域操作。 如果可以进一步鉴定，则该方法包括识别与当前域对象和/或当前域操作相关联的另一域操作和/或另一域对象，将另一域操作和/或另一域对象重新分配为当前域动作，以及 /或当前域对象，然后递归地限定新的当前域操作和/或当前对象。 这个过程一直持续到没有什么是剩下的资格。