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公开(公告)号：US08768686B2
公开(公告)日：2014-07-01
申请号：US12779751
申请日：2010-05-13
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： A method of identifying and using side information available to statistical machine translation systems within an enterprise setting, the method including extracting user-specific interaction and non-interaction-based information from at least one corresponding database within the enterprise for each of a plurality of users, aggregating the user-specific interaction and non-interaction based information from a plurality of users, by using a processor on a computer, to tune and adapt background translation and language models, and updating all relevant models within the enterprise after user activity based on the tuned and adapted translation and language models.
摘要翻译： 一种识别和使用可用于企业设置内的统计机器翻译系统的侧面信息的方法，所述方法包括从多个用户中的每一个的企业内的至少一个对应的数据库中提取用户特定交互和非基于交互的信息 ，通过使用计算机上的处理器来聚合来自多个用户的用户特定交互和非基于交互的信息，以调整和适应背景翻译和语言模型，以及在基于用户活动的用户活动之后更新企业内的所有相关模型 调整和适应的翻译和语言模型。
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公开(公告)号：US08229729B2
公开(公告)日：2012-07-24
申请号：US12054636
申请日：2008-03-25
CPC分类号： G06F17/2818
摘要： A system and method for training a statistical machine translation model and decoding or translating using the same is disclosed. A source word versus target word co-occurrence matrix is created to define word pairs. Dimensionality of the matrix may be reduced. Word pairs are mapped as vectors into continuous space where the word pairs are vectors of continuous real numbers and not discrete entities in the continuous space. A machine translation parametric model is trained using an acoustic model training method based on word pair vectors in the continuous space.
摘要翻译： 公开了一种用于训练统计机器翻译模型和使用其的解码或翻译的系统和方法。 创建源词与目标词同现矩阵以定义单词对。 可以减小矩阵的尺寸。 字对被映射为连续空间中的向量，其中单词对是连续实数的向量，而不是连续空间中的离散实体。 使用基于连续空间中的字对矢量的声学模型训练方法训练机器翻译参数模型。
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公开(公告)号：US20050055209A1
公开(公告)日：2005-03-10
申请号：US10655838
申请日：2003-09-05
申请人： Mark Epstein , Hakan Erdogan , Yuqing Gao , Michael Picheny , Ruhi Sarikaya
发明人： Mark Epstein , Hakan Erdogan , Yuqing Gao , Michael Picheny , Ruhi Sarikaya
CPC分类号： G10L15/1815
摘要： A system and method for speech recognition includes generating a set of likely hypotheses in recognizing speech, rescoring the likely hypotheses by using semantic content by employing semantic structured language models, and scoring parse trees to identify a best sentence according to the sentence's parse tree by employing the semantic structured language models to clarify the recognized speech.
摘要翻译： 一种用于语音识别的系统和方法包括在识别语音中产生一组可能的假设，通过使用语义结构化语言模型通过使用语义内容来重新计算可能的假设，并且通过采用语法结构语言模型对解析树进行评分以识别根据句子的解析树的最佳句子 语义结构语言模型来澄清公认的言语。
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公开(公告)号：US09367526B1
公开(公告)日：2016-06-14
申请号：US13190891
申请日：2011-07-26
申请人： Paul Vozila , Maximilian Bisani , Yi Su , Stephen M. Chu , Stanley F. Chen , Ruhi Sarikaya , Bhuvana Ramabhadran
发明人： Paul Vozila , Maximilian Bisani , Yi Su , Stephen M. Chu , Stanley F. Chen , Ruhi Sarikaya , Bhuvana Ramabhadran
CPC分类号： G06F17/218 , G06F17/2775 , G06F17/2785 , G06F17/30663 , G06F17/30684 , G06F17/30687 , G06F17/30705 , G06F17/30707 , G06Q10/107
摘要： A language processing application employs a classing function optimized for the underlying production application context for which it is expected to process speech. A combination of class based and word based features generates a classing function optimized for a particular production application, meaning that a language model employing the classing function uses word classes having a high likelihood of accurately predicting word sequences encountered by a language model invoked by the production application. The classing function optimizes word classes by aligning the objective of word classing with the underlying language processing task to be performed by the production application. The classing function is optimized to correspond to usage in the production application context using class-based and word-based features by computing a likelihood of a word in an n-gram and a frequency of a word within a class of the n-gram.
摘要翻译： 语言处理应用程序使用针对其预期处理语音的底层生产应用程序环境进行优化的分类功能。 基于类和基于字的特征的组合产生针对特定生产应用优化的分类功能，这意味着采用分类函数的语言模型使用具有准确预测由生产调用的语言模型遇到的单词序列的高似然性的单词类 应用。 分类函数通过将单词分类的目标与生产应用程序执行的底层语言处理任务进行对齐来优化单词类。 通过计算n-gram中的单词和n-gram类中的单词的可能性，使用基于类和基于单词的特征来优化分类功能以对应于生产应用上下文中的使用。
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5.发明授权Virtualized abstraction with built-in data alignment and simultaneous event monitoring in performance counter based application characterization and tuning 有权虚拟化抽象与基于性能计数器的应用程序表征和调优内置数据对齐和同时事件监视公开(公告)号：US08798962B2
公开(公告)日：2014-08-05
申请号：US13052616
申请日：2011-03-21
申请人： Pradip Bose , Alper Buyuktosunoglu , Canturk Isci , Jeff Kephart , Xiaoqiao Meng , Ruhi Sarikaya
发明人： Pradip Bose , Alper Buyuktosunoglu , Canturk Isci , Jeff Kephart , Xiaoqiao Meng , Ruhi Sarikaya
CPC分类号： G06F11/3089 , G06F11/3024 , G06F11/3466 , G06F2201/815 , G06F2201/86 , G06F2201/88
摘要： Techniques for monitoring a set of one or more event counters of application execution are provided. The techniques include constructing a virtual performance monitoring counter (VPMC) layer as a unified abstraction of a physical performance monitoring counter (PMC) architecture, and incorporating one or more programming interfaces (PIs) in connection with the virtual performance monitoring counter, wherein the one or more programming interfaces facilitate simultaneous access and data monitoring across a set of one or more event counters.
摘要翻译： 提供了用于监视应用执行的一个或多个事件计数器的集合的技术。 这些技术包括构建虚拟性能监视计数器（VPMC）层作为物理性能监视计数器（PMC）体系结构的统一抽象，并且结合一个或多个与虚拟性能监视计数器结合的编程接口（PI），其中一个 或更多的编程接口便于跨一组或多个事件计数器的同时访问和数据监视。
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公开(公告)号：US20110282648A1
公开(公告)日：2011-11-17
申请号：US12779751
申请日：2010-05-13
CPC分类号： G06F17/2818
摘要： A method of identifying and using side information available to statistical machine translation systems within an enterprise setting, the method including extracting user-specific interaction and non-interaction-based information from at least one corresponding database within the enterprise for each of a plurality of users, aggregating the user-specific interaction and non-interaction based information from a plurality of users, by using a processor on a computer, to tune and adapt background translation and language models, and updating all relevant models within the enterprise after user activity based on the tuned and adapted translation and language models.
摘要翻译： 一种识别和使用可用于企业设置内的统计机器翻译系统的侧面信息的方法，所述方法包括从多个用户中的每一个的企业内的至少一个对应的数据库中提取用户特定交互和非基于交互的信息 ，通过使用计算机上的处理器来聚合来自多个用户的用户特定交互和非基于交互的信息，以调整和适应背景翻译和语言模型，以及在基于用户活动的用户活动之后更新企业内的所有相关模型 调整和适应的翻译和语言模型。
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公开(公告)号：US07610191B2
公开(公告)日：2009-10-27
申请号：US10959523
申请日：2004-10-06
申请人： Yuqing Gao , Michael Alan Picheny , Ruhi Sarikaya
发明人： Yuqing Gao , Michael Alan Picheny , Ruhi Sarikaya
IPC分类号： G06F17/27
CPC分类号： G06F17/271 , G06F17/2755
摘要： A method, apparatus and computer instructions is provided for fast semi-automatic semantic annotation. Given a limited annotated corpus, the present invention assigns a tag and a label to each word of the next limited annotated corpus using a parser engine, a similarity engine, and a SVM engine. A rover then combines the parse trees from the three engines and annotates the next chunk of limited annotated corpus with confidence, such that the efforts required for human annotation is reduced.
摘要翻译： 提供了一种用于快速半自动语义注释的方法，装置和计算机指令。 给定有限的注释语料库，本发明使用解析器引擎，相似性引擎和SVM引擎为下一个有限注释语料库的每个单词分配标签和标签。 然后，流动站组合来自三个引擎的解析树，并自信地注释下一批有限注释语料库，从而减少人体注释所需的努力。
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公开(公告)号：US09646001B2
公开(公告)日：2017-05-09
申请号：US13236016
申请日：2011-09-19
申请人： Ruhi Sarikaya , Vaibhava Goel , David Nahamoo , Rèal Tremblay , Bhuvana Ramabhadran , Osamuyimen Stewart
发明人： Ruhi Sarikaya , Vaibhava Goel , David Nahamoo , Rèal Tremblay , Bhuvana Ramabhadran , Osamuyimen Stewart
CPC分类号： G06F17/289 , G10L15/22 , G10L15/26 , H04M3/42 , H04M3/42391 , H04M2242/12
摘要： Operation of an automated dialog system is described using a source language to conduct a real time human machine dialog process with a human user using a target language. A user query in the target language is received and automatically machine translated into the source language. An automated reply of the dialog process is then delivered to the user in the target language. If the dialog process reaches an initial assistance state, a first human agent using the source language is provided to interact in real time with the user in the target language by machine translation to continue the dialog process. Then if the dialog process reaches a further assistance state, a second human agent using the target language is provided to interact in real time with the user in the target language to continue the dialog process.
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9.发明授权公开(公告)号：US09098494B2
公开(公告)日：2015-08-04
申请号：US13469078
申请日：2012-05-10
申请人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
发明人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
CPC分类号： G06F17/289
摘要： Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component. A hybrid process, comprising machine translation components and linguistic components associated with the anchor language, can also serve as an initiating construct from which a single language process is created over time.
摘要翻译： 能够以一种或多种语言接受语言输入的过程通过重新使用与不同锚语言相关联的现有语言组件以及在锚语言和一种或多种语言之间进行翻译的机器翻译组件而产生。 语言输入针对机器翻译组件，将这种输入从其语言转换为锚语言。 然后利用那些现有的语言分量来启动响应处理并产生输出。 可选地，输出被引导通过机器翻译组件。 语言标识符可以最初接收语言输入并且识别提供这种语言输入以选择适当的机器翻译组件的语言。 包括与锚语言相关联的机器翻译组件和语言组件的混合过程也可以用作随时间创建单个语言过程的起始构造。
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10.发明申请公开(公告)号：US20130304451A1
公开(公告)日：2013-11-14
申请号：US13469078
申请日：2012-05-10
申请人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
发明人： Ruhi Sarikaya , Daniel Boies , Fethiye Asli Celikyilmaz , Anoop K. Deoras , Dustin Rigg Hillard , Dilek Z. Hakkani-Tur , Gokhan Tur , Fileno A. Alleva
CPC分类号： G06F17/289
摘要： Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component. A hybrid process, comprising machine translation components and linguistic components associated with the anchor language, can also serve as an initiating construct from which a single language process is created over time.
摘要翻译： 能够以一种或多种语言接受语言输入的过程通过重新使用与不同锚语言相关联的现有语言组件以及在锚语言和一种或多种语言之间进行翻译的机器翻译组件而产生。 语言输入针对机器翻译组件，将这种输入从其语言转换为锚语言。 然后利用那些现有的语言分量来启动响应处理并产生输出。 可选地，输出被引导通过机器翻译组件。 语言标识符可以最初接收语言输入并且识别提供这种语言输入以选择适当的机器翻译组件的语言。 包括与锚语言相关联的机器翻译组件和语言组件的混合过程也可以用作随时间创建单个语言过程的起始构造。
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