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1.发明申请公开(公告)号：US20130124492A1
公开(公告)日：2013-05-16
申请号：US13296640
申请日：2011-11-15
IPC分类号： G06F17/30
CPC分类号： G06F17/2818 , G06F17/273 , G06F17/30864
摘要： Statistical Machine Translation (SMT) based search query spelling correction techniques are described herein. In one or more implementations, search data regarding searches performed by clients may be logged. The logged data includes query correction pairs that may be used to ascertain error patterns indicating how misspelled substrings may be translated to corrected substrings. The error patterns may be used to determine suggestions for an input query and to develop query correction models used to translate the input query to a corrected query. In one or more implementations, probabilistic features from multiple query correction models are combined to score different correction candidates. One or more top scoring correction candidates may then be exposed as suggestions for selection by a user and/or provided to a search engine to conduct a corresponding search using the corrected query version(s).
摘要翻译： 本文描述了基于统计机器翻译（SMT）的搜索查询拼写校正技术。 在一个或多个实现中，可以记录关于由客户端执行的搜索的搜索数据。 记录的数据包括可用于确定错误模式的查询校正对，指示拼写错误的子字符串可以被翻译为校正子字符串。 错误模式可用于确定输入查询的建议，并开发用于将输入查询转换为更正查询的查询校正模型。 在一个或多个实现中，来自多个查询校正模型的概率特征被组合以得出不同的校正候选。 然后可以将一个或多个顶级评分校正候选者作为用户的选择和/或提供给搜索引擎的建议被公开，以使用校正的查询版本进行相应的搜索。
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公开(公告)号：US10176168B2
公开(公告)日：2019-01-08
申请号：US13296640
申请日：2011-11-15
摘要： Statistical Machine Translation (SMT) based search query spelling correction techniques are described herein. In one or more implementations, search data regarding searches performed by clients may be logged. The logged data includes query correction pairs that may be used to ascertain error patterns indicating how misspelled substrings may be translated to corrected substrings. The error patterns may be used to determine suggestions for an input query and to develop query correction models used to translate the input query to a corrected query. In one or more implementations, probabilistic features from multiple query correction models are combined to score different correction candidates. One or more top scoring correction candidates may then be exposed as suggestions for selection by a user and/or provided to a search engine to conduct a corresponding search using the corrected query version(s).
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公开(公告)号：US06141641A
公开(公告)日：2000-10-31
申请号：US60654
申请日：1998-04-15
申请人： Mei-Yuh Hwang , Xuedong D. Huang
发明人： Mei-Yuh Hwang , Xuedong D. Huang
CPC分类号： G10L15/26 , G10L15/144 , G10L2015/0631
摘要： The present invention includes a system for recognizing speech based on an input data stream. The system includes an acoustic model which has a model size. The model is adjustable to a desired size based on characteristics of a computer system on which the recognition system is run.
摘要翻译： 本发明包括一种基于输入数据流识别语音的系统。 该系统包括具有模型尺寸的声学模型。 基于运行识别系统的计算机系统的特性，该模型可以调整到所需的大小。
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4.发明授权
公开(公告)号：US5963903A
公开(公告)日：1999-10-05
申请号：US673435
申请日：1996-06-28
申请人： Hsiao-Wuen Hon , Xuedong D. Huang , Mei-Yuh Hwang , Li Jiang , Yun-Cheng Ju , Milind V. Mahajan , Michael J. Rozak
发明人： Hsiao-Wuen Hon , Xuedong D. Huang , Mei-Yuh Hwang , Li Jiang , Yun-Cheng Ju , Milind V. Mahajan , Michael J. Rozak
CPC分类号： G10L15/063 , G10L2015/0635
摘要： A method and system for dynamically selecting words for training a speech recognition system. The speech recognition system models each phoneme using a hidden Markov model and represents each word as a sequence of phonemes. The training system ranks each phoneme for each frame according to the probability that the corresponding codeword will be spoken as part of the phoneme. The training system collects spoken utterances for which the corresponding word is known. The training system then aligns the codewords of each utterance with the phoneme that it is recognized to be part of. The training system then calculates an average rank for each phoneme using the aligned codewords for the aligned frames. Finally, the training system selects words for training that contain phonemes with a low rank.
摘要翻译： 一种用于动态选择用于训练语音识别系统的单词的方法和系统。 语音识别系统使用隐马尔科夫模型对每个音素进行建模，并将每个单词表示为音素序列。 训练系统根据将相应的码字作为音素的一部分被说出的概率，对每个帧的每个音素进行排序。 训练系统收集对应词语已知的口语说话。 然后，训练系统将每个话语的码字与被认为是其一部分的音素对齐。 训练系统然后使用对齐的帧的对齐码字来计算每个音素的平均等级。 最后，训练系统选择包含低等级音素的训练词。
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5.发明授权
公开(公告)号：US6076056A
公开(公告)日：2000-06-13
申请号：US934622
申请日：1997-09-19
申请人： Xuedong D. Huang , Fileno A. Alleva , Li Jiang , Mei-Yuh Hwang
发明人： Xuedong D. Huang , Fileno A. Alleva , Li Jiang , Mei-Yuh Hwang
摘要： Speech recognition is performed by receiving isolated speech training data indicative of a plurality of discretely spoken training words, and receiving continuous speech training data indicative of a plurality of continuously spoken training words. A plurality of speech unit models is trained based on the isolated speech training data and the continuous speech training data. Speech is recognized based on the speech unit models trained.
摘要翻译： 通过接收指示多个离散讲话的训练词的孤立语音训练数据，以及接收指示多个连续讲话的训练词的连续语音训练数据来执行语音识别。 基于孤立语音训练数据和连续语音训练数据来训练多个语音单元模型。 基于训练的语音单元模型识别语音。
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6.发明授权Architecture for user- and context-specific prefetching and caching of information on portable devices 有权用于便携式设备上的用户和上下文相关预取和缓存信息的体系结构公开(公告)号：US08626136B2
公开(公告)日：2014-01-07
申请号：US11427755
申请日：2006-06-29
申请人： Raymond E. Ozzie , Eric J. Horvitz , William H. Gates, III , Joshua T. Goodman , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Christopher A Meek
发明人： Raymond E. Ozzie , Eric J. Horvitz , William H. Gates, III , Joshua T. Goodman , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Christopher A Meek
CPC分类号： G06F17/30867 , H04W4/02 , H04W4/18
摘要： Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentially desired content is received and cached by a content storing component to be available in the future when and if needed, mitigating latency associated with slow download speeds, refresh rates, and other system and/or network impediments. Content from background search results can be trickled into the device as part of the background process so as not to burden system resources for other processes. As part of memory management, aged and/or low priority or low interest content can be selectively removed or archived to increase available cache or memory space, as well as to maintain relevant content within the device. A presentation component facilitates presentation of the pre-stored content.
摘要翻译： 便携式无线设备的内容管理架构。 提供缓存和提取技术以改进便携式设备（例如蜂窝电话和便携式计算机）的内容处理。 搜索组件自动执行搜索作为后台进程，并且可能期望的内容被内容存储组件接收和缓存，以便将来在需要时可用，减轻与慢下载速度，刷新率和其他系统相关联的延迟，以及 /或网络障碍。 来自后台搜索结果的内容可以作为后台进程的一部分进入设备，以免对其他进程造成系统资源的负担。 作为内存管理的一部分，老化和/或低优先级或低兴趣内容可以被选择性地删除或归档以增加可用的高速缓存或存储器空间，以及维护设备内的相关内容。 演示组件便于显示预存的内容。
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公开(公告)号：US20100306647A1
公开(公告)日：2010-12-02
申请号：US12472579
申请日：2009-05-27
申请人： Zhengyon Zhang , Xuedong D. Huang , Jin Li , Rajesh Kutpadi Hegde , Kori Marie Quinn , Michel Pahud , Jayman Dalal
发明人： Zhengyon Zhang , Xuedong D. Huang , Jin Li , Rajesh Kutpadi Hegde , Kori Marie Quinn , Michel Pahud , Jayman Dalal
CPC分类号： G06F3/016
摘要： The claimed subject matter provides a system and/or a method that facilitates replicating a telepresence session with a real world physical meeting. A telepresence session can be initiated within a communication framework that includes two or more virtually represented users that communicate therein. A trigger component can monitor the telepresence session in real time to identify a participant interaction with an object, wherein the object is at least one of a real world physical object or a virtually represented object within the telepresence session. A feedback component can implement a force feedback to at least one participant within the telepresence session based upon the identified participant interaction with the object, wherein the force feedback is employed via a device associated with at least one participant.
摘要翻译： 所要求保护的主题提供了一种有助于利用真实世界物理会议复制远程呈现会话的系统和/或方法。 可以在通信框架内启动远程呈现会话，该通信框架包括在其中通信的两个或更多虚拟表示的用户。 触发组件可以实时地监视远程呈现会话，以识别与对象的参与者交互，其中对象是远程呈现会话中的真实世界物理对象或虚拟表示对象中的至少一个。 基于所识别的参与者与对象的交互，反馈组件可以向远程呈现会话中的至少一个参与者实施强制反馈，其中通过与至少一个参与者相关联的设备来采用力反馈。
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公开(公告)号：US07822762B2
公开(公告)日：2010-10-26
申请号：US11427311
申请日：2006-06-28
申请人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
发明人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
IPC分类号： G06F7/001
CPC分类号： G06F17/30967 , G06F17/30964
摘要： A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
摘要翻译： 提供了一种采用明确和/或隐含训练的模型以返回基于实体的基于计算机的搜索结果的系统。 该创新可以提供定制的搜索模型，其将搜索重点与获得关于实体目标有意义的信息相关联。 该模型可以用于根据实体的目标修改搜索查询，或者生成搜索查询，从而向用户返回有意义和/或有针对性的结果。 系统可以自动收集与实体有关的数据，然后确定或推断目标以及训练模型。 此外，系统可以基于模型选择性地配置（例如，排序，排序，过滤）并将结果呈现给用户。
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公开(公告)号：US07013265B2
公开(公告)日：2006-03-14
申请号：US11003121
申请日：2004-12-03
申请人： Xuedong D. Huang , Milind V. Mahajan , Ye-Yi Wang , Xiaolong Mou
发明人： Xuedong D. Huang , Milind V. Mahajan , Ye-Yi Wang , Xiaolong Mou
CPC分类号： G10L15/193 , G10L15/197
摘要： A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processing module capable of receiving an input signal indicative of language accesses the unified language model to recognize the language. The language processing module generates hypotheses for the received language as a function of words of the unified language model and/or provides an output signal indicative of the language and at least some of the semantic or syntactic concepts contained therein.
摘要翻译： 语言处理系统包括统一的语言模型。 统一语言模型包括具有表示语义或句法概念和终端的非终端令牌的多个无上下文语法，以及具有非终端令牌的N-gram语言模型。 能够接收指示语言的输入信号的语言处理模块访问统一语言模型以识别语言。 语言处理模块根据统一语言模型的单词生成接收到的语言的假设和/或提供指示语言的输出信号以及其中包含的至少一些语义或句法概念。
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公开(公告)号：US06418431B1
公开(公告)日：2002-07-09
申请号：US09050286
申请日：1998-03-30
IPC分类号： G06F1730
CPC分类号： G06F17/30687 , G10L15/183 , G10L15/197 , Y10S707/99934
摘要： A language model is used in a speech recognition system which has access to a first, smaller data store and a second, larger data store. The language model is adapted by formulating an information retrieval query based on information contained in the first data store and querying the second data store. Information retrieved from the second data store is used in adapting the language model. Also, language models are used in retrieving information from the second data store. Language models are built based on information in the first data store, and based on information in the second data store. The perplexity of a document in the second data store is determined, given the first language model, and given the second language model. Relevancy of the document is determined based upon the first and second perplexities. Documents are retrieved which have a relevancy measure that exceeds a threshold level.
摘要翻译： 一种语言模型用于能够访问第一个较小的数据存储和第二个更大数据存储的语音识别系统。 通过基于包含在第一数据存储器中的信息并查询第二数据存储器来制定信息检索查询来适应语言模型。 从第二数据存储器检索的信息用于适应语言模型。 此外，语言模型用于从第二数据存储检索信息。 语言模型是基于第一数据存储中的信息构建的，并且基于第二数据存储中的信息。 在给定第一语言模型并给出第二语言模型的情况下，确定第二数据存储中的文档的困惑度。 基于第一和第二困惑来确定文档的相关性。 检索具有超过阈值水平的相关性度量的文档。
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