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41. 发明申请

US20110022381A1 ACTIVE LEARNING SYSTEMS AND METHODS FOR RAPID PORTING OF MACHINE TRANSLATION SYSTEMS TO NEW LANGUAGE PAIRS OR NEW DOMAINS 有权
标题翻译：主动学习系统和方法将机器翻译系统快速复制到新的语言对或新的领域
公开(公告)号：US20110022381A1
公开(公告)日：2011-01-27
申请号：US12506483
申请日：2009-07-21
申请人： Yuqing Gao , Bing Xiang , Bowen Zhou
发明人： Yuqing Gao , Bing Xiang , Bowen Zhou
IPC分类号： G06F17/28 , G06F3/048
CPC分类号： G06F17/2818
摘要： Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.
摘要翻译：通过动态创建和更新并行语料库主动学习统计机器翻译系统的系统和方法。所提供的系统和方法通过计算特定翻译的置信度得分，从测试语句，单词，短语等组合中创建出准确的平行语料库条目。具有高置信度得分的翻译直接添加到语料库，并且具有低置信度分数的翻译被提供给人类翻译以进行更正。

42. 发明授权

US07860719B2 Disfluency detection for a speech-to-speech translation system using phrase-level machine translation with weighted finite state transducers 有权
标题翻译：使用带加权有限状态传感器的短语级机器翻译的语音到语音翻译系统的差异检测
公开(公告)号：US07860719B2
公开(公告)日：2010-12-28
申请号：US11506981
申请日：2006-08-19
申请人： Sameer Raj Maskey , Yuqing Gao , Bowen Zhou
发明人： Sameer Raj Maskey , Yuqing Gao , Bowen Zhou
IPC分类号： G10L21/00 , G10L15/28 , G06F17/28
CPC分类号： G06F17/2775
摘要： A computer-implemented method for creating a disfluency translation lattice includes providing a plurality of weighted finite state transducers including a translation model, a language model, and a phrase segmentation model as input, performing a cascaded composition of the weighted finite state transducers to create a disfluency translation lattice, and storing the disfluency translation lattice to a computer-readable media.
摘要翻译：用于创建不相容性转换格子的计算机实现的方法包括提供包括翻译模型，语言模型和短语分割模型的多个加权有限状态换能器作为输入，执行加权有限状态换能器的级联组合以创建不清晰度转换格子，并将不清晰度转换格架存储到计算机可读介质。

43. 发明申请

US20100256973A1 SYSTEMS AND METHODS FOR FAST AND MEMORY EFFICIENT MACHINE TRANSLATION USING STATISTICAL INTEGRATED PHASE LATTICE 有权
标题翻译：使用统计综合相位法进行快速和高效的机器翻译的系统和方法
公开(公告)号：US20100256973A1
公开(公告)日：2010-10-07
申请号：US12824806
申请日：2010-06-28
申请人： Stanley Chen , Yuqing Gao , Bowen Zhou
发明人： Stanley Chen , Yuqing Gao , Bowen Zhou
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： A phrase-based translation system and method includes a statistically integrated phrase lattice (SIPL) (H) which represents an entire translational model. An input (I) is translated by determining a best path through an entire lattice (S) by performing an efficient composition operation between the input and the SIPL. The efficient composition operation is performed by a multiple level search where each operand in the efficient composition operation represents a different search level.
摘要翻译：基于短语的翻译系统和方法包括代表整个翻译模型的统计学上综合的词组（SIPL）（H）。通过在输入和SIPL之间执行有效的组合操作来确定通过整个网格（S）的最佳路径来转换输入（I）。通过多级搜索来执行高效合成操作，其中高效合成操作中的每个操作数表示不同的搜索级别。

44. 发明授权

US07797148B2 Systems and methods for fast and memory efficient machine translation using statistical integrated phase lattice 有权
标题翻译：使用统计综合相位格的快速和高效的机器翻译的系统和方法
公开(公告)号：US07797148B2
公开(公告)日：2010-09-14
申请号：US12132791
申请日：2008-06-04
申请人： Stanley Chen , Yuqing Gao , Bowen Zhou
发明人： Stanley Chen , Yuqing Gao , Bowen Zhou
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： A phrase-based translation system and method includes a statistically integrated phrase lattice (SIPL) (H) which represents an entire translational model. An input (I) is translated by determining a best path through an entire lattice (S) by performing an efficient composition operation between the input and the SIPL. The efficient composition operation is performed by a multiple level search where each operand in the efficient composition operation represents a different search level.
摘要翻译：基于短语的翻译系统和方法包括代表整个翻译模型的统计学上综合的词组（SIPL）（H）。通过在输入和SIPL之间执行有效的组合操作来确定通过整个网格（S）的最佳路径来转换输入（I）。通过多级搜索来执行高效合成操作，其中高效合成操作中的每个操作数表示不同的搜索级别。

45. 发明申请

US20090048822A1 SYSTEMS AND METHODS FOR FAST AND MEMORY EFFICIENT MACHINE TRANSLATION USING STATISTICAL INTEGRATED PHASE LATTICE 有权
标题翻译：使用统计综合相位法进行快速和高效的机器翻译的系统和方法
公开(公告)号：US20090048822A1
公开(公告)日：2009-02-19
申请号：US12132791
申请日：2008-06-04
申请人： Stanley Chen , Yuqing Gao , Bowen Zhou
发明人： Stanley Chen , Yuqing Gao , Bowen Zhou
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： A phrase-based translation system and method includes a statistically integrated phrase lattice (SIPL) (H) which represents an entire translational model. An input (I) is translated by determining a best path through an entire lattice (S) by performing an efficient composition operation between the input and the SIPL. The efficient composition operation is performed by a multiple level search where each operand in the efficient composition operation represents a different search level.
摘要翻译：基于短语的翻译系统和方法包括代表整个翻译模型的统计学上综合的词组（SIPL）（H）。通过在输入和SIPL之间执行有效的组合操作来确定通过整个网格（S）的最佳路径来转换输入（I）。通过多级搜索来执行高效合成操作，其中高效合成操作中的每个操作数表示不同的搜索级别。

46. 发明授权

US07475015B2 Semantic language modeling and confidence measurement 有权
标题翻译：语义语言建模和置信度测量
公开(公告)号：US07475015B2
公开(公告)日：2009-01-06
申请号：US10655838
申请日：2003-09-05
申请人： Mark E. Epstein , Hakan Erdogan , Yuqing Gao , Michael A. Picheny , Ruhi Sarikaya
发明人： Mark E. Epstein , Hakan Erdogan , Yuqing Gao , Michael A. Picheny , Ruhi Sarikaya
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。

47. 发明授权

US06850888B1 Methods and apparatus for training a pattern recognition system using maximal rank likelihood as an optimization function 失效
标题翻译：使用最大秩可能性作为优化函数训练模式识别系统的方法和装置
公开(公告)号：US06850888B1
公开(公告)日：2005-02-01
申请号：US09680706
申请日：2000-10-06
申请人： Yuqing Gao , Yongxin Li , Michael Alan Picheny
发明人： Yuqing Gao , Yongxin Li , Michael Alan Picheny
IPC分类号： G10L15/14 , G10L15/00
CPC分类号： G10L15/144
摘要： A method and apparatus are disclosed for training a pattern recognition system, such as a speech recognition system, using an improved objective function. The concept of rank likelihood, previously applied only to the decding process, is applied in a novel manner to the parameter estimation of the training phase of a pattern recognition system. The disclosed objective function is based on a pseudo-rank likelihood that not only maximizes the likelihood of an observation for the correct class, but also minimizes the likelihoods of the observation for all other classes, such that the discrimination between classes is maximized. A training process is disclosed that utilizes the pseudo-rank likelihood objective function to identify model parameters that will result in a pattern recognizer with the lowest possible recognition error rate. The discrete nature of the rank-based rank likelihood objective function is transformed to allow the parameter estimations to be optimized during the training phase.
摘要翻译：公开了一种使用改进的目标函数来训练诸如语音识别系统的模式识别系统的方法和装置。先前仅适用于解码处理的等级似然性的概念以新颖的方式应用于模式识别系统的训练阶段的参数估计。所公开的目标函数基于伪秩可能性，其不仅使对正确类的观察的可能性最大化，而且使对所有其他类的观察的可能性最小化，使得类之间的区分最大化。公开了一种训练过程，其利用伪秩似然度目标函数来识别将产生具有最低可能识别错误率的模式识别器的模型参数。转换基于秩的等级似然目标函数的离散性质，以便在训练阶段优化参数估计。

48. 发明授权

US08728518B2 Butylphthalide self-emulsifying drug delivery system, its preparation and method and application 有权
标题翻译：丁苯酞自乳化药物输送系统，其制备方法及应用
公开(公告)号：US08728518B2
公开(公告)日：2014-05-20
申请号：US11574313
申请日：2005-08-26
申请人： Zhentao Liu , Liying Yang , Hanyu Yang , Yuqing Gao , Dongmin Shen , Wenmin Guo , Xiaolong Feng , Jia Zheng
发明人： Zhentao Liu , Liying Yang , Hanyu Yang , Yuqing Gao , Dongmin Shen , Wenmin Guo , Xiaolong Feng , Jia Zheng
IPC分类号： A61K9/66
CPC分类号： A61K9/1075 , A61K9/0095 , A61K9/1617 , A61K9/2013 , A61K9/4858 , A61K31/34
摘要： The present invention relates to a novel drug delivery and release system, i.e. Self-emulsifying Drug Delivery System (SEDDS), of butylphthalide, to a preparation process thereof, and to a use thereof in a pharmaceutical formulation. The drug delivery system comprises as essential ingredients 1% to 65% of butylphthalide and 10% to 65% of a emulsifying agent, together with various excipients as required depending on the desired dosage forms. The present invention significantly increases the contact area between butylphthalide and the mucous membrane of the gastrointestinal tract, and therefore improves the absorptivity of the drug.
摘要翻译：本发明涉及一种新型药物递送和释放系统，即丁基苯酞的自乳化药物递送系统（SEDDS），其制备方法及其在药物制剂中的用途。药物递送系统根据所需的剂型，根据需要含有1％至65％的丁基苯酞和10％至65％的乳化剂，以及各种赋形剂。本发明显着增加了丁基苯酞与胃肠道粘膜之间的接触面积，从而提高了药物的吸收性。

49. 发明授权

US08566076B2 System and method for applying bridging models for robust and efficient speech to speech translation 有权
标题翻译：用于将强大而有效的语音桥接模型应用于语音翻译的系统和方法
公开(公告)号：US08566076B2
公开(公告)日：2013-10-22
申请号：US12128199
申请日：2008-05-28
申请人： Yonggang Deng , Yuqing Gao , Bing Xiang
发明人： Yonggang Deng , Yuqing Gao , Bing Xiang
IPC分类号： G06F17/28
CPC分类号： G06F17/2809
摘要： A system and method for speech translation includes a bridge module connected between a first component and a second component. The bridge module includes a transformation model configured to receive an original hypothesis output from a first component. The transformation model has one or more transformation features configured to transform the original hypothesis into a new hypothesis that is more easily translated by the second component.
摘要翻译：用于语音翻译的系统和方法包括连接在第一组件和第二组件之间的桥模块。桥模块包括被配置为从第一组件接收原始假设输出的变换模型。转换模型具有一个或多个变换特征，其被配置为将原始假设转换为更容易被第二组件翻译的新假设。

50. 发明申请

US20130263097A1 IDENTIFICATION OF LOCALIZABLE FUNCTION CALLS 有权
公开(公告)号：US20130263097A1
公开(公告)日：2013-10-03
申请号：US13437506
申请日：2012-04-02
申请人： Michael H. Dawson , Yuqing Gao , Megumi Ito , Graeme Johnson , Seetharami R. Seelam
发明人： Michael H. Dawson , Yuqing Gao , Megumi Ito , Graeme Johnson , Seetharami R. Seelam
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.

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