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1.发明授权Methods for using manual phrase alignment data to generate translation models for statistical machine translation 有权使用手动短语对齐数据生成用于统计机器翻译的翻译模型的方法公开(公告)号：US08229728B2
公开(公告)日：2012-07-24
申请号：US11969518
申请日：2008-01-04
申请人： Jun Huang , Yookyung Kim , Demitrios Master , Farzad Ehsani
发明人： Jun Huang , Yookyung Kim , Demitrios Master , Farzad Ehsani
CPC分类号： G06F17/2818 , G06F17/2827
摘要： The present invention adopts the fundamental architecture of a statistical machine translation system which utilizes statistical models learned from the training data and does not require expert knowledge for rule-based machine translation systems. Out of the training parallel data, a certain amount of sentence pairs are selected for manual alignment. These sentences are aligned at the phrase level instead of at the word level. Depending on the size of the training data, the optimal amount for manual alignment may vary. The alignment is done using an alignment tool with a graphical user interface which is convenient and intuitive to the users. Manually aligned data are then utilized to improve the automatic word alignment component. Model combination methods are also introduced to improve the accuracy and the coverage of statistical models for the task of statistical machine translation.
摘要翻译： 本发明采用统计机器翻译系统的基础架构，该系统利用从训练数据中获得的统计模型，不需要基于规则的机器翻译系统的专业知识。 在训练并行数据中，选择一定量的句子对进行手动对齐。 这些句子在短语级别而不是单词级别对齐。 根据训练数据的大小，手动校准的最佳量可能会有所不同。 使用具有用户方便和直观的图形用户界面的对准工具进行对准。 然后使用手动对齐的数据来改进自动字对齐组件。 还引入了模型组合方法，以提高统计机器翻译任务的统计模型的准确性和覆盖率。
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公开(公告)号：US08583416B2
公开(公告)日：2013-11-12
申请号：US11965711
申请日：2007-12-27
申请人： Jun Huang , Yookyung Kim , Youssef Billawala , Farzad Ehsani , Demitrios Master
发明人： Jun Huang , Yookyung Kim , Youssef Billawala , Farzad Ehsani , Demitrios Master
CPC分类号： G10L15/1822 , G10L15/1815
摘要： The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.
摘要翻译： 传统语音识别系统（应用于信息提取或翻译）的性能随着更大的域大小，稀缺的训练数据以及噪声环境条件而显着降低。 本发明通过引入一种新颖的预测特征提取方法来缓解这些问题，该方法结合语言和统计信息来表示以噪声源语言嵌入的信息。 预测特征与文本分类器组合，将嘈杂的文本映射到语义或功能相似的组之一。 分类器使用的特征可以是语法，语义和统计。
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3.发明申请Methods for Using Manual Phrase Alignment Data to Generate Translation Models for Statistical Machine Translation 有权使用手动短语对齐数据生成统计机器翻译的翻译模型的方法公开(公告)号：US20090177460A1
公开(公告)日：2009-07-09
申请号：US11969518
申请日：2008-01-04
申请人： Jun Huang , Yookyung Kim , Demitrios Master , Farzad Ehsani
发明人： Jun Huang , Yookyung Kim , Demitrios Master , Farzad Ehsani
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： The present invention adopts the fundamental architecture of a statistical machine translation system which utilizes statistical models learned from the training data and does not require expert knowledge for rule-based machine translation systems. Out of the training parallel data, a certain amount of sentence pairs are selected for manual alignment. These sentences are aligned at the phrase level instead of at the word level. Depending on the size of the training data, the optimal amount for manual alignment may vary. The alignment is done using an alignment tool with a graphical user interface which is convenient and intuitive to the users. Manually aligned data are then utilized to improve the automatic word alignment component. Model combination methods are also introduced to improve the accuracy and the coverage of statistical models for the task of statistical machine translation.
摘要翻译： 本发明采用统计机器翻译系统的基础架构，该系统利用从训练数据中获得的统计模型，不需要基于规则的机器翻译系统的专业知识。 在训练并行数据中，选择一定量的句子对进行手动对齐。 这些句子在短语级别而不是单词级别对齐。 根据训练数据的大小，手动校准的最佳量可能会有所不同。 使用具有用户方便和直观的图形用户界面的对准工具进行对准。 然后使用手动对齐的数据来改进自动字对齐组件。 还提出了模型组合方法，以提高统计机器翻译任务的统计模型的准确性和覆盖率。
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公开(公告)号：US20090171662A1
公开(公告)日：2009-07-02
申请号：US11965711
申请日：2007-12-27
申请人： Jun Huang , Yookyung Kim , Youssef Billawala , Farzad Ehsani , Demitrios Master
发明人： Jun Huang , Yookyung Kim , Youssef Billawala , Farzad Ehsani , Demitrios Master
IPC分类号： G10L15/00
CPC分类号： G10L15/1822 , G10L15/1815
摘要： The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.
摘要翻译： 传统语音识别系统（应用于信息提取或翻译）的性能随着更大的域大小，稀缺的训练数据以及噪声环境条件而显着降低。 本发明通过引入一种新颖的预测特征提取方法来缓解这些问题，该方法结合语言和统计信息来表示以噪声源语言嵌入的信息。 预测特征与文本分类器组合，将嘈杂的文本映射到语义或功能相似的组之一。 分类器使用的特征可以是语法，语义和统计。
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公开(公告)号：US20080154577A1
公开(公告)日：2008-06-26
申请号：US11645926
申请日：2006-12-26
申请人： Yookyung Kim , Jun Huang , Youssef Billawala
发明人： Yookyung Kim , Jun Huang , Youssef Billawala
IPC分类号： G06F17/28
CPC分类号： G06F17/2827 , G06F17/2775
摘要： Traditional statistical machine translation systems learn all information from a sentence aligned parallel text and are known to have problems translating between structurally diverse languages. To overcome this limitation, the present invention introduces two-level training, which incorporates syntactic chunking into statistical translation. A chunk-alignment step is inserted between the sentence-level and word-level training, which allows differing training for these two sources of information in order to learn lexical properties from the aligned chunks and learn structural properties from chunk sequences. The system consists of a linguistic processing step, two level training, and a decoding step which combines chunk translations of multiple sources and multiple language models.
摘要翻译： 传统的统计机器翻译系统从句子对齐的并行文本中学习所有信息，并且已知在不同结构语言之间翻译有问题。 为了克服这个限制，本发明引入了将句法分块结合到统计翻译中的两级训练。 在句子级和词级训练之间插入块对齐步骤，其允许针对这两个信息源的不同训练，以便从对齐的块学习词汇属性并从块序列学习结构特性。 该系统由语言处理步骤，两级训练和解码步骤组成，该步骤结合了多个来源和多种语言模型的块转换。
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公开(公告)号：US11816506B2
公开(公告)日：2023-11-14
申请号：US17565776
申请日：2021-12-30
申请人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
发明人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
CPC分类号： G06F9/505 , G06F9/5094 , G06F11/3024 , G06F11/3433 , G06F2209/501 , G06F2209/508
摘要： Systems, devices, media, and methods are presented for throttling (i.e., adjusting) the workload of an application (e.g., number of task requests) in order to improve processor core usage within a heterogeneous multiprocessor system. When high-performance processing is beneficial to the application, the number of task requests may be increased in order to have high-performance processor cores within the heterogeneous multiprocessor system core processor perform the tasks. On the other hand, when high-performance processing is not beneficial, the number of task requests may be decreased in order to have low-performance processor cores within the heterogeneous multiprocessor system perform the tasks. Processor core usage is monitored, and the number of tasks being performed are adjusted to match the processor core usage to a target processor core usage for functions the application is performing.
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公开(公告)号：US11539814B1
公开(公告)日：2022-12-27
申请号：US16425423
申请日：2019-05-29
申请人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
发明人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
IPC分类号： G06F15/167 , H04L67/568 , H04L67/306 , H04L67/01 , H04L9/40
摘要： Friend capability caching designed to allow a user of an application to improve a user's experience based on the shared capabilities of a set of friends. Communication between client devices can be improved by knowing the shared capabilities, such as a device type, media format and media size. The client devices store capabilities of friends devices such that a client device can communicate with other client devices as a function of the friend device capabilities.
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公开(公告)号：US11240104B1
公开(公告)日：2022-02-01
申请号：US16418135
申请日：2019-05-21
申请人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
发明人： Michael Cieslak , Jiayao Yu , Kai Chen , Farnaz Azmoodeh , Michael David Marr , Jun Huang , Zahra Ferdowsi
摘要： Systems, devices, media, and methods are presented for assigning configuration parameters to unknown devices by comparing characteristics of unknown devices to characteristics of known devices. Characteristics of an unknown device are compared to characteristics of known devices to identify a similar device having known configuration parameters. The unknown devise is then assigned the configuration parameters of the identified similar device.
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公开(公告)号：US08477155B2
公开(公告)日：2013-07-02
申请号：US12798392
申请日：2010-04-02
IPC分类号： G09G5/00
CPC分类号： G09G5/391 , G09G2330/021 , G09G2340/0407 , G09G2340/0492 , G09G2340/10 , G09G2350/00
摘要： A display method and apparatus are disclosed. The method includes: when a video layer needs to scale a video image, judging whether a preset policy is met; if so, using the offline mode; otherwise using the online mode; processing the video image in online mode or offline mode, and outputting the processed video image, where the online mode is a mode in which the video image frame is scaled in real time, and the offline mode is a mode in which the video image frame is scaled asynchronously. With the display method and apparatus, the source video image can be scaled in any ratio by selecting the online mode or offline mode, thus reducing the display power consumption.
摘要翻译： 公开了一种显示方法和装置。 该方法包括：当视频层需要缩放视频图像时，判断是否满足预设策略; 如果是，使用离线模式; 否则使用在线模式; 在线模式或离线模式处理视频图像，并输出处理后的视频图像，其中在线模式是实时缩放视频图像帧的模式，离线模式是视频图像帧 以异步方式缩放。 利用显示方法和装置，可以通过选择在线模式或离线模式以任何比例缩放源视频图像，从而降低显示功耗。
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公开(公告)号：US20130063608A1
公开(公告)日：2013-03-14
申请号：US13607916
申请日：2012-09-10
申请人： Patrick Tierney , Jun Huang , Timothy Gallagher
发明人： Patrick Tierney , Jun Huang , Timothy Gallagher
CPC分类号： H04L43/08 , H04B17/309 , H04L12/66 , H04N17/00
摘要： A system, such as a satellite reception assembly or customer premises gateway, may comprise an analog-to-digital converter operable to digitize a signal spanning an entire television spectrum (e.g., cable television spectrum or satellite television spectrum) comprising a plurality of television channels. The system may comprise a signal monitor operable to analyze a signal to determine a characteristic of the signal. The system may comprise a data processor operable to process a television channel to recover content carried on the television channel. The system may comprise a channelizer operable to select first and second portions of the signal, and concurrently output the first portion to the signal monitor and the second portion to the data processor.
摘要翻译： 诸如卫星接收组件或客户驻地网关的系统可以包括可操作用于数字化跨越整个电视频谱（例如，有线电视频谱或卫星电视频谱）的信号的模数转换器，其包括多个电视频道 。 该系统可以包括可操作以分析信号以确定信号的特性的信号监视器。 该系统可以包括可操作以处理电视频道以恢复在电视频道上携带的内容的数据处理器。 该系统可以包括可操作以选择信号的第一和第二部分的信道化器，并且同时将第一部分输出到信号监视器，并将第二部分输出到数据处理器。
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