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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：US20060074634A1
公开(公告)日：2006-04-06
申请号：US10959523
申请日：2004-10-06
申请人： Yuqing Gao , Michael Picheny , Ruhi Sarikaya
发明人： Yuqing Gao , Michael 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引擎向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：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：US07996211B2
公开(公告)日：2011-08-09
申请号：US12123778
申请日：2008-05-20
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引擎向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：US07475015B2
公开(公告)日：2009-01-06
申请号：US10655838
申请日：2003-09-05
IPC分类号： G10L15/00
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：US20090248394A1
公开(公告)日：2009-10-01
申请号：US12054636
申请日：2008-03-25
IPC分类号： G06F17/28
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：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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8.发明授权Enhanced likelihood computation using regression in a speech recognition system 失效在语音识别系统中使用回归来增强似然计算公开(公告)号：US06493667B1
公开(公告)日：2002-12-10
申请号：US09368669
申请日：1999-08-05
IPC分类号： G10L1514
CPC分类号： G10L15/144 , G10L2015/085
摘要： In order to achieve low error rates in a speech recognition system, for example, in a system employing rank-based decoding, we discriminate the most confusable incorrect leaves from the correct leaf by lowering their ranks. That is, we increase the likelihood of the correct leaf of a frame, while decreasing the likelihoods of the confusable leaves. In order to do this, we use the auxiliary information from the prediction of the neighboring frames to augment the likelihood computation of the current frame. We then use the residual errors in the predictions of neighboring frames to discriminate between the correct (best) and incorrect leaves of a given frame. We present a new methodology that incorporates prediction error likelihoods into the overall likelihood computation to improve the rank position of the correct leaf.
摘要翻译： 为了在语音识别系统中实现低错误率，例如，在采用基于秩解码的系统中，我们通过降低他们的等级来区分来自正确叶片的最混淆的不正确的叶子。 也就是说，我们增加了一帧正确叶片的可能性，同时降低了可疑叶片的可能性。 为了做到这一点，我们使用来自相邻帧的预测的辅助信息来增加当前帧的似然性计算。 然后，我们使用相邻帧的预测中的残差来区分给定帧的正确（最佳）和不正确的叶。 我们提出一种将预测误差可能性纳入总体似然计算的新方法，以提高正确叶子的排名。
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公开(公告)号：US08943485B2
公开(公告)日：2015-01-27
申请号：US13613350
申请日：2012-09-13
CPC分类号： G06F9/5044 , G06F9/45516
摘要： Detecting localizable native methods may include statically analyzing a native binary file of a native method. For each function call invoked in the native binary, it is checked whether resources accessed through the function call is locally available or not. If all resources accessed though the native method is locally available, the method is annotated as localizable.
摘要翻译： 检测可本地化的本地方法可能包括静态分析本地方法的本地二进制文件。 对于在本地二进制文件中调用的每个函数调用，检查通过函数调用访问的资源是否在本地可用。 如果通过本机方法访问的所有资源都在本地可用，则该方法将注释为可本地化。
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公开(公告)号：US08627291B2
公开(公告)日：2014-01-07
申请号：US13437506
申请日：2012-04-02
IPC分类号： G06F9/44
CPC分类号： G06F9/5044 , G06F9/45516
摘要： Detecting localizable native methods may include statically analyzing a native binary file of a native method. For each function call invoked in the native binary, it is checked whether resources accessed through the function call is locally available or not. If all resources accessed though the native method is locally available, the method is annotated as localizable.
摘要翻译： 检测可本地化的本地方法可能包括静态分析本地方法的本地二进制文件。 对于在本地二进制文件中调用的每个函数调用，检查通过函数调用访问的资源是否在本地可用。 如果通过本机方法访问的所有资源都在本地可用，则该方法将注释为可本地化。
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