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1. 发明授权

US07496496B2 System and method for machine learning a confidence metric for machine translation 有权
标题翻译：用于机器学习机器翻译的置信度量的系统和方法
公开(公告)号：US07496496B2
公开(公告)日：2009-02-24
申请号：US11725435
申请日：2007-03-19
申请人： Christopher B. Quirk , Arul A. Menezes , Stephen D. Richardson , Robert C. Moore
发明人： Christopher B. Quirk , Arul A. Menezes , Stephen D. Richardson , Robert C. Moore
IPC分类号： G06F17/28 , G06F17/20 , G10L11/00
CPC分类号： G06F17/28
摘要： A machine translation system is trained to generate confidence scores indicative of a quality of a translation result. A source string is translated with a machine translator to generate a target string. Features indicative of translation operations performed are extracted from the machine translator. A trusted entity-assigned translation score is obtained and is indicative of a trusted entity-assigned translation quality of the translated string. A relationship between a subset of the extracted features and the trusted entity-assigned translation score is identified.
摘要翻译：训练机器翻译系统以产生指示翻译结果的质量的置信度分数。使用机器翻译器翻译源字符串以生成目标字符串。从机器翻译器提取表示所执行的翻译操作的特征。获得受信任的实体分配的翻译分数，并且指示被翻译的字符串的受信任的实体分配的翻译质量。识别提取的特征的子集与可信实体分配的翻译分数之间的关系。

2. 发明授权

US08209162B2 Machine translation split between front end and back end processors 有权
标题翻译：机器翻译分为前端和后端处理器
公开(公告)号：US08209162B2
公开(公告)日：2012-06-26
申请号：US11414844
申请日：2006-05-01
申请人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
发明人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
IPC分类号： G06F17/28 , G06F17/21
CPC分类号： G06F17/289
摘要： A method of translation includes uploading a source text portion to a back end processor. The back end processor identifies a subset of translation knowledge associated with the source text portion. The back end processor downloads the subset to a front end processor. A translation engine runs on the front end processor. The translation engine generates a translation of the source text portion as a function of the subset.
摘要翻译：一种翻译方法包括将源文本部分上传到后端处理器。后端处理器识别与源文本部分相关联的翻译知识的子集。后端处理器将子集下载到前端处理器。翻译引擎在前端处理器上运行。翻译引擎生成作为子集的函数的源文本部分的翻译。

3. 发明授权

US08886516B2 Machine translation split between front end and back end processors 有权
标题翻译：机器翻译分为前端和后端处理器
公开(公告)号：US08886516B2
公开(公告)日：2014-11-11
申请号：US13409419
申请日：2012-03-01
申请人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
发明人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
IPC分类号： G06F17/28
CPC分类号： G06F17/289
摘要： A method of translation includes uploading a source text portion to a back end processor. The back end processor identifies a subset of translation knowledge associated with the source text portion. The back end processor downloads the subset to a front end processor. A translation engine runs on the front end processor. The translation engine generates a translation of the source text portion as a function of the subset.
摘要翻译：一种翻译方法包括将源文本部分上传到后端处理器。后端处理器识别与源文本部分相关联的翻译知识的子集。后端处理器将子集下载到前端处理器。翻译引擎在前端处理器上运行。翻译引擎生成作为子集的函数的源文本部分的翻译。

4. 发明申请

US20120179450A1 MACHINE TRANSLATION SPLIT BETWEEN FRONT END AND BACK END PROCESSORS 有权
标题翻译：前端和后端处理器之间的机器翻译分割
公开(公告)号：US20120179450A1
公开(公告)日：2012-07-12
申请号：US13409419
申请日：2012-03-01
申请人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
发明人： Arul A. Menezes , Christopher B. Quirk , Richard F. Rashid , Robert C. Moore
IPC分类号： G06F17/28
CPC分类号： G06F17/289
摘要： A method of translation includes uploading a source text portion to a back end processor. The back end processor identifies a subset of translation knowledge associated with the source text portion. The back end processor downloads the subset to a front end processor. A translation engine runs on the front end processor. The translation engine generates a translation of the source text portion as a function of the subset.
摘要翻译：一种翻译方法包括将源文本部分上传到后端处理器。后端处理器识别与源文本部分相关联的翻译知识的子集。后端处理器将子集下载到前端处理器。翻译引擎在前端处理器上运行。翻译引擎生成作为子集的函数的源文本部分的翻译。

5. 发明授权

US07209875B2 System and method for machine learning a confidence metric for machine translation 有权
标题翻译：用于机器学习机器翻译的置信度量的系统和方法
公开(公告)号：US07209875B2
公开(公告)日：2007-04-24
申请号：US10309950
申请日：2002-12-04
申请人： Christopher B. Quirk , Arul A. Menezes , Steven D. Richardson , Robert C. Moore
发明人： Christopher B. Quirk , Arul A. Menezes , Steven D. Richardson , Robert C. Moore
IPC分类号： G06F17/28 , G10L11/00
CPC分类号： G06F17/28
摘要： A machine translation system is trained to generate confidence scores indicative of a quality of a translation result. A source string is translated with a machine translator to generate a target string. Features indicative of translation operations performed are extracted from the machine translator. A trusted entity-assigned translation score is obtained and is indicative of a trusted entity-assigned translation quality of the translated string. A relationship between a subset of the extracted features and the trusted entity-assigned translation score is identified.
摘要翻译：训练机器翻译系统以产生指示翻译结果的质量的置信度分数。使用机器翻译器翻译源字符串以生成目标字符串。从机器翻译器提取表示所执行的翻译操作的特征。获得受信任的实体分配的翻译分数，并且指示被翻译的字符串的受信任的实体分配的翻译质量。识别提取的特征的子集与可信实体分配的翻译分数之间的关系。

6. 发明授权

US07593843B2 Statistical language model for logical form using transfer mappings 有权
标题翻译：统计语言模型的逻辑形式使用转移映射
公开(公告)号：US07593843B2
公开(公告)日：2009-09-22
申请号：US10813208
申请日：2004-03-30
申请人： Anthony Aue , Eric K. Ringger , Christopher B. Quirk , Arul A. Menezes , Robert C. Moore
发明人： Anthony Aue , Eric K. Ringger , Christopher B. Quirk , Arul A. Menezes , Robert C. Moore
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2881
摘要： A method of decoding an input semantic structure to generate an output semantic structure. A set of transfer mappings are provided. A score is calculated for at least one transfer mapping in the set of transfer mappings using a statistical model. At least one transfer mapping is selected based on the score and used to construct the output semantic structure.
摘要翻译：一种解码输入语义结构以生成输出语义结构的方法。提供一组传输映射。使用统计模型计算一组传输映射中的至少一个传输映射的分数。基于分数选择至少一个传输映射，并用于构建输出语义结构。

7. 发明授权

US07725306B2 Efficient phrase pair extraction from bilingual word alignments 有权
标题翻译：从双语词汇中提取有效的短语对
公开(公告)号：US07725306B2
公开(公告)日：2010-05-25
申请号：US11477978
申请日：2006-06-28
申请人： Robert C. Moore , Christopher B. Quirk
发明人： Robert C. Moore , Christopher B. Quirk
IPC分类号： G06F17/20 , G06F17/28
CPC分类号： G06F17/2827
摘要： A method is provided for identifying phrase alignment pairs between a source sentence and a target sentence. Boundaries for a phrase in the source sentence are identified by requiring that a source word be aligned with at least one target word in a target sentence in order to form a boundary for the source phrase. Boundaries for a phrase in the target sentence are identified based on alignments between words in the source phrase and words in the target sentence. The words in the target phrase are examined to determine if any of the words are aligned with source words outside of the source phrase. If they are not aligned with source words outside of the source phrase, the source phrase and target phrase are determined to form an alignment pair and are stored as a phrase alignment pair.
摘要翻译：提供了一种用于识别源句和目标句之间的短语对齐对的方法。通过要求源词与目标句中的至少一个目标词对齐以形成源短语的边界来识别源句中的短语的边界。基于目标句子中短语的边界是基于源短语中的单词和目标句子中的单词之间的对齐来确定的。检查目标短语中的单词以确定是否有任何单词与源短语之外的源字符对齐。如果它们不与源短语之外的源字符对齐，则确定源短语和目标短语以形成对齐对，并将其存储为短语对齐对。

8. 发明申请

US20080004863A1 Efficient phrase pair extraction from bilingual word alignments 有权
标题翻译：从双语词汇中提取有效的短语对
公开(公告)号：US20080004863A1
公开(公告)日：2008-01-03
申请号：US11477978
申请日：2006-06-28
申请人： Robert C. Moore , Christopher B. Quirk
发明人： Robert C. Moore , Christopher B. Quirk
IPC分类号： G06F17/28
CPC分类号： G06F17/2827
摘要： A method is provided for identifying phrase alignment pairs between a source sentence and a target sentence. Boundaries for a phrase in the source sentence are identified by requiring that a source word be aligned with at least one target word in a target sentence in order to form a boundary for the source phrase. Boundaries for a phrase in the target sentence are identified based on alignments between words in the source phrase and words in the target sentence. The words in the target phrase are examined to determine if any of the words are aligned with source words outside of the source phrase. If they are not aligned with source words outside of the source phrase, the source phrase and target phrase are determined to form an alignment pair and are stored as a phrase alignment pair.
摘要翻译：提供了一种用于识别源句和目标句之间的短语对齐对的方法。通过要求源词与目标句中的至少一个目标词对齐以形成源短语的边界来识别源句中的短语的边界。基于目标句子中短语的边界是基于源短语中的单词和目标句子中的单词之间的对齐来确定的。检查目标短语中的单词以确定是否有任何单词与源短语之外的源字符对齐。如果它们不与源短语之外的源字符对齐，则确定源短语和目标短语以形成对齐对，并将其存储为短语对齐对。

9. 发明申请

US20110038593A1 Optical Fiber Containing Multi-Layered Coating System 有权
标题翻译：包含多层涂层系统的光纤
公开(公告)号：US20110038593A1
公开(公告)日：2011-02-17
申请号：US12852922
申请日：2010-08-09
申请人： Ching-Kee Chien , Robert C. Moore
发明人： Ching-Kee Chien , Robert C. Moore
IPC分类号： G02B6/00
CPC分类号： C03C25/1065 , G02B6/02395
摘要： The present invention relates to an optical fiber that includes a glass fiber and three or more coatings that encapsulate the glass fiber, where the three or more coatings include a primary coating in contact with said glass fiber, one or more intermediate coatings that surround the primary coating, and a secondary coating that surrounds the intermediate coatings. Both three-coating and four-coating systems are described that afford improve microbend performance.
摘要翻译：本发明涉及一种光纤，其包括玻璃纤维和三个或更多个包封玻璃纤维的涂层，其中三个或更多个涂层包括与所述玻璃纤维接触的初级涂层，一个或多个围绕主要玻璃纤维的中间涂层涂层和围绕中间涂层的二次涂层。描述了三涂层和四涂层系统，其提供改善微弯曲性能。

10. 发明申请

US20090063130A1 FAST BEAM-SEARCH DECODING FOR PHRASAL STATISTICAL MACHINE TRANSLATION 有权
标题翻译：用于PHRASAL STATISTICAL MACHINE TRANSLATION的快速波束搜索解码
公开(公告)号：US20090063130A1
公开(公告)日：2009-03-05
申请号：US11850210
申请日：2007-09-05
申请人： Robert C. Moore
发明人： Robert C. Moore
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： Improved systems, methods and apparatuses are provided for fast beam-search decoding for phrasal statistical machine translation. The provided techniques incorporate a front-loaded distortion penalty estimate for future estimated distortion penalty and/or early pruning to reduce the search space. The improvements result in up to an order of magnitude increase in translation speed for statistical machine translation systems. The disclosed details enable various refinements and modifications according to decoder and system design considerations.
摘要翻译：提供改进的系统，方法和装置用于短语统计机器翻译的快速波束搜索解码。所提供的技术包括用于将来估计的失真惩罚和/或早期修剪以减少搜索空间的前负载失真惩罚估计。这种改进导致统计机器翻译系统的翻译速度提高到一个数量级。所公开的细节可以根据解码器和系统设计考虑进行各种改进和修改。

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