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1. 发明申请

US20070255550A1 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：US20070255550A1
公开(公告)日：2007-11-01
申请号：US11414844
申请日：2006-05-01
申请人： Arul Menezes , Christopher Quirk , Richard Rashid , Robert Moore
发明人： Arul Menezes , Christopher Quirk , Richard Rashid , Robert 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。

2. 发明申请

US20050228640A1 Statistical language model for logical forms 有权
标题翻译：逻辑形式的统计语言模型
公开(公告)号：US20050228640A1
公开(公告)日：2005-10-13
申请号：US10813208
申请日：2004-03-30
申请人： Anthony Aue , Eric Ringger , Christopher Quirk , Arul Menezes , Robert Moore
发明人： Anthony Aue , Eric Ringger , Christopher Quirk , Arul Menezes , Robert Moore
IPC分类号： G06F17/27 , 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。

3. 发明申请

US20070219774A1 System and method for machine learning a confidence metric for machine translation 有权
公开(公告)号：US20070219774A1
公开(公告)日：2007-09-20
申请号：US11725435
申请日：2007-03-19
申请人： Christopher Quirk , Arul Menezes , Stephen Richardson , Robert Moore
发明人： Christopher Quirk , Arul Menezes , Stephen Richardson , Robert Moore
IPC分类号： G06F17/28
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.

4. 发明申请

US20050102130A1 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：US20050102130A1
公开(公告)日：2005-05-12
申请号：US10309950
申请日：2002-12-04
申请人： Christopher Quirk , Arul Menezes , Stephen Richardson , Robert Moore
发明人： Christopher Quirk , Arul Menezes , Stephen Richardson , Robert Moore
IPC分类号： G06F17/28
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受信任的实体分配的翻译得分之间的关系。

5. 发明申请

US20060111896A1 Projecting dependencies to generate target language dependency structure 有权
标题翻译：投影依赖关系来生成目标语言依赖结构
公开(公告)号：US20060111896A1
公开(公告)日：2006-05-25
申请号：US11014108
申请日：2004-12-16
申请人： Arul Menezes , Christopher Quirk , Colin Cherry
发明人： Arul Menezes , Christopher Quirk , Colin Cherry
IPC分类号： G06F17/21
CPC分类号： G06F17/2818 , G06F17/28
摘要： In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
摘要翻译：在本发明的一个实施例中，解码器接收依赖树作为源语言输入，并访问产生在对数线性框架中组合的输出的一组统计模型。解码器还访问树形图转换对的表，并基于对依赖树的转换对的访问，并且基于统计模型的应用，基于源依赖关系树返回目标依赖关系树。

6. 发明申请

US20060111892A1 Extracting treelet translation pairs 有权
公开(公告)号：US20060111892A1
公开(公告)日：2006-05-25
申请号：US11014492
申请日：2004-12-16
申请人： Arul Menezes , Christopher Quirk , Colin Cherry
发明人： Arul Menezes , Christopher Quirk , Colin Cherry
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/28
摘要： In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.

7. 发明申请

US20060111891A1 Order model for dependency structure 有权
公开(公告)号：US20060111891A1
公开(公告)日：2006-05-25
申请号：US11014152
申请日：2004-12-16
申请人： Arul Menezes , Christopher Quirk , Colin Cherry
发明人： Arul Menezes , Christopher Quirk , Colin Cherry
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/28
摘要： In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.

8. 发明申请

US20060095248A1 Machine translation system incorporating syntactic dependency treelets into a statistical framework 有权
标题翻译：机器翻译系统将句法依赖树结合到统计框架中
公开(公告)号：US20060095248A1
公开(公告)日：2006-05-04
申请号：US11014503
申请日：2004-12-16
申请人： Arul Menezes , Christopher Quirk , Colin Cherry
发明人： Arul Menezes , Christopher Quirk , Colin Cherry
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/28
摘要： In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
摘要翻译：在本发明的一个实施例中，解码器接收依赖树作为源语言输入，并访问产生在对数线性框架中组合的输出的一组统计模型。解码器还访问树形图转换对的表，并基于对依赖树的转换对的访问，并且基于统计模型的应用，基于源依赖关系树返回目标依赖关系树。

9. 发明授权

US5742825A Operating system for office machines 失效
标题翻译：办公机器操作系统
公开(公告)号：US5742825A
公开(公告)日：1998-04-21
申请号：US803845
申请日：1997-02-28
申请人： Sharad Mathur , Franklin D. Fite, Jr. , Arul Menezes , Kim Stebbens
发明人： Sharad Mathur , Franklin D. Fite, Jr. , Arul Menezes , Kim Stebbens
IPC分类号： G06F15/00 , G06F9/46 , G06F9/48 , G06F9/40
CPC分类号： G06F9/4887 , G06F9/546
摘要： A multitasking, graphical windowing operating system for an office machine supporting real time processing, including a method for supporting real time processing in the operating system. The operating system includes a kernel having a non-preemptive scheduler for scheduling windowing applications and a preemptive scheduler for scheduling real time applications. The kernel includes a messaging subsystem for communication among process in the system including both the real time and windowing applications, and further includes an event semaphore maintained by the kernel to manage scheduling. The method includes grouping windowing applications together for scheduling purposes and scheduling windowing applications non-preemptively. The method further includes determining priority of real time applications and scheduling real time applications preemptively with the windowing applications based on priority.
摘要翻译：一种用于支持实时处理的办公机器的多任务图形窗口操作系统，包括用于在操作系统中支持实时处理的方法。操作系统包括具有用于调度加窗应用的非抢占式调度器的内核和用于调度实时应用的抢占式调度器。内核包括用于在系统中的进程之间进行通信的消息传递子系统，包括实时应用和开窗应用，并且还包括由内核维护以管理调度的事件信号量。该方法包括将加窗应用程序组合在一起用于调度目的，并且非抢先地调度开窗应用。该方法进一步包括确定实时应用的优先级，并基于优先级预先与开窗应用程序调度实时应用。

10. 发明申请

US20080154848A1 Search, Analysis and Comparison of Content 有权
标题翻译：内容搜索，分析与比较
公开(公告)号：US20080154848A1
公开(公告)日：2008-06-26
申请号：US11613958
申请日：2006-12-20
申请人： Brian Dean Haslam , Patrick Wayne John Evans , Arul Menezes , Patrick Joseph Dinio Santos
发明人： Brian Dean Haslam , Patrick Wayne John Evans , Arul Menezes , Patrick Joseph Dinio Santos
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30728 , G06F2216/11
摘要： The present invention may be used to analyze subject content, search and analyze reference content, compare the subject and reference content for similarity, and output comparison reports between the subject and reference content. The present invention may incorporate and utilize text from intrinsic and/or extrinsic subject documents. The analysis may employ a variety of metrics, including scores generated from a natural language processing system, scores based on classification similarity, scores based on proximity similarity, and in the case of analysis of patent documents, scores based on measurement of claims.
摘要翻译：本发明可以用于分析主题内容，搜索和分析参考内容，比较主题和参考内容的相似性，并且输出主题和参考内容之间的比较报告。本发明可以包含和利用来自内在和/或外在主题文件的文本。分析可以采用各种度量，包括从自然语言处理系统产生的分数，基于分类相似度的分数，基于邻近度相似度的分数，以及在专利文献分析的情况下，基于权利要求的测量的分数。

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