专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US06871174B1 System and method for matching a textual input to a lexical knowledge base and for utilizing results of that match 有权
标题翻译：用于将文本输入与词汇知识库进行匹配并利用该匹配的结果的系统和方法
公开(公告)号：US06871174B1
公开(公告)日：2005-03-22
申请号：US09572765
申请日：2000-05-17
申请人： William B. Dolan , Michael Barnett , Stephen D. Richardson , Arul A. Menezes , Lucretia H. Vanderwende
发明人： William B. Dolan , Michael Barnett , Stephen D. Richardson , Arul A. Menezes , Lucretia H. Vanderwende
IPC分类号： G06F17/27 , G06F17/30 , G06F15/62
CPC分类号： G06F17/30684 , G06F17/271 , G06F17/277 , G06F17/2785 , Y10S707/99932 , Y10S707/99935
摘要： The present invention can be used in a natural language processing system to determine a relationship (such as similarity in meaning) between two textual segments. The relationship can be identified or determined based on logical graphs generated from the textual segments. A relationship between first and second logical graphs is determined. This is accomplished regardless of whether there is an exact match between the first and second logical graphs. In one embodiment, the first graph represents an input textual discourse unit. The second graph, in one embodiment, represents information in a lexical knowledge base (LKB). The input graph can be matched against the second graph, if they have similar meaning, even if the two differ lexically or structurally.
摘要翻译：本发明可以用于自然语言处理系统中以确定两个文本段之间的关系（诸如意义上的相似性）。可以基于从文本段生成的逻辑图来识别或确定关系。确定第一和第二逻辑图之间的关系。无论第一个和第二个逻辑图之间是否存在精确的匹配，这是完成的。在一个实施例中，第一图表示输入文本话语单元。在一个实施例中，第二个图表示词汇知识库（LKB）中的信息。输入图可以与第二个图匹配，如果它们具有相似的含义，即使两者在词汇或结构上不同。

2. 发明授权

US07013264B2 System and method for matching a textual input to a lexical knowledge based and for utilizing results of that match 失效
标题翻译：用于将文本输入与基于词汇知识相匹配并用于利用该匹配的结果的系统和方法
公开(公告)号：US07013264B2
公开(公告)日：2006-03-14
申请号：US10977910
申请日：2004-10-29
申请人： William B. Dolan , Michael Barnett , Stephen D. Richardson , Arul A. Menezes , Lucretia H. Vanderwende
发明人： William B. Dolan , Michael Barnett , Stephen D. Richardson , Arul A. Menezes , Lucretia H. Vanderwende
IPC分类号： G06F17/30
CPC分类号： G06F17/30684 , G06F17/271 , G06F17/277 , G06F17/2785 , Y10S707/99932 , Y10S707/99935
摘要： The present invention can be used in a natural language processing system to determine a relationship (such as similarity in meaning) between two textual segments. The relationship can be identified or determined based on logical graphs generated from the textual segments. A relationship between first and second logical graphs is determined. This is accomplished regardless of whether there is an exact match between the first and second logical graphs. In one embodiment, the first graph represents an input textual discourse unit. The second graph, in one embodiment, represents information in a lexical knowledge base (LKB). The input graph can be matched against the second graph, if they have similar meaning, even if the two differ lexically or structurally.
摘要翻译：本发明可以用于自然语言处理系统中以确定两个文本段之间的关系（诸如意义上的相似性）。可以基于从文本段生成的逻辑图来识别或确定关系。确定第一和第二逻辑图之间的关系。无论第一个和第二个逻辑图之间是否存在精确的匹配，这是完成的。在一个实施例中，第一图表示输入的文本话语单元。在一个实施例中，第二个图表示词汇知识库（LKB）中的信息。输入图可以与第二个图匹配，如果它们具有相似的含义，即使两者在词汇或结构上不同。

3. 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。

4. 发明授权

US08275605B2 Machine language translation with transfer mappings having varying context 有权
标题翻译：机器语言翻译与转移映射具有不同的上下文
公开(公告)号：US08275605B2
公开(公告)日：2012-09-25
申请号：US12773328
申请日：2010-05-04
申请人： Arul A. Menezes , Stephen D. Richardson
发明人： Arul A. Menezes , Stephen D. Richardson
IPC分类号： G06F17/28
CPC分类号： G06F17/2827
摘要： A computer-implemented machine translation system translates text from a first language to a second language. The system includes a plurality of mappings, each mapping indicative of associating a dependency structure of the first language with a dependency structure of the second language, wherein at least some of the mappings correspond to dependency structures of the first language having varying context with some common elements, and associated dependency structures of the second language to the dependency structures of the first language. A module receives input text in a first language and outputs output text in a second language based on accessing the plurality of mappings.
摘要翻译：计算机实现的机器翻译系统将文本从第一语言翻译成第二语言。该系统包括多个映射，每个映射指示将第一语言的依赖结构与第二语言的依赖结构相关联，其中至少一些映射对应于具有不同上下文的第一语言的依赖结构，具有一些常见的元素和第二语言的关联依赖结构与第一语言的依赖结构。模块以第一语言接收输入文本，并且基于访问多个映射以第二语言输出输出文本。

5. 发明授权

US07734459B2 Automatic extraction of transfer mappings from bilingual corpora 有权
标题翻译：自动提取双语语料库的转移映射
公开(公告)号：US07734459B2
公开(公告)日：2010-06-08
申请号：US09899554
申请日：2001-07-05
申请人： Arul A. Menezes , Stephen D. Richardson
发明人： Arul A. Menezes , Stephen D. Richardson
IPC分类号： G06F11/28
CPC分类号： G06F17/2827
摘要： A method of aligning nodes of dependency structures obtained from a bilingual corpus includes a two-phase approach wherein a first phase comprises associating nodes of the dependency structures to form tentative correspondences. The nodes of the dependency structures are then aligned as a function of the tentative correspondences and structural considerations. Mappings are obtained from the aligned dependency structures. The mappings can be expanded with varying types and amounts of local context in order that a more fluent translation can be obtained when translation is performed.
摘要翻译：从双语语料库获得的依赖关系结构的对齐节点的方法包括两阶段方法，其中第一阶段包括关联依赖结构的节点以形成临时对应。依赖结构的节点随后作为临时对应关系和结构考虑的函数进行对齐。映射从对齐的依赖结构获得。可以用不同类型和数量的本地语境来扩展映射，以便在进行翻译时可以获得更流畅的翻译。

6. 发明申请

US20100223049A1 MACHINE LANGUAGE TRANSLATION WITH TRANSFER MAPPINGS HAVING VARYING CONTEXT 有权
标题翻译：机器语言翻译与转换映射有变化的背景
公开(公告)号：US20100223049A1
公开(公告)日：2010-09-02
申请号：US12773328
申请日：2010-05-04
申请人： Arul A. Menezes , Stephen D. Richardson
发明人： Arul A. Menezes , Stephen D. Richardson
IPC分类号： G06F17/28
CPC分类号： G06F17/2827
摘要： A computer-implemented machine translation system translates text from a first language to a second language. The system includes a plurality of mappings, each mapping indicative of associating a dependency structure of the first language with a dependency structure of the second language, wherein at least some of the mappings correspond to dependency structures of the first language having varying context with some common elements, and associated dependency structures of the second language to the dependency structures of the first language. A module receives input text in a first language and outputs output text in a second language based on accessing the plurality of mappings.
摘要翻译：计算机实现的机器翻译系统将文本从第一语言翻译成第二语言。该系统包括多个映射，每个映射指示将第一语言的依赖结构与第二语言的依赖结构相关联，其中至少一些映射对应于具有不同上下文的第一语言的依赖结构，具有一些常见的元素和第二语言的关联依赖结构与第一语言的依赖结构。模块以第一语言接收输入文本，并且基于访问多个映射以第二语言输出输出文本。

7. 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。

8. 发明授权

US07016829B2 Method and apparatus for unsupervised training of natural language processing units 失效
公开(公告)号：US07016829B2
公开(公告)日：2006-03-21
申请号：US09849833
申请日：2001-05-04
申请人： Eric D. Brill , Arul A. Menezes
发明人： Eric D. Brill , Arul A. Menezes
IPC分类号： G06F17/27 , G10L15/00
CPC分类号： G06F17/274
摘要： A method of training a natural language processing unit applies a candidate learning set to at least one component of the natural language unit. The natural language unit is then used to generate a meaning set from a first corpus. A second meaning set is generated from a second corpus using a second natural language unit and the two meaning sets are compared to each other to form a score for the candidate learning set. This score is used to determine whether to modify the natural language unit based on the candidate learning set.

9. 发明授权

US5452353A Canonical telephone numbers 失效
标题翻译：规范电话号码
公开(公告)号：US5452353A
公开(公告)日：1995-09-19
申请号：US170999
申请日：1993-06-24
申请人： Arul A. Menezes
发明人： Arul A. Menezes
IPC分类号： H04M3/42 , H04M1/2745 , H04M1/27
CPC分类号： H04M1/274566 , Y10S379/912
摘要： A system and method using canonical telephone numbers which allows automatic calling with any location in the world independent of the caller's location. The caller canonical telephone number and a plurality of caller prefixes are stored within the system. A telephone directory stores a plurality of callee canonical telephone numbers for locations throughout the world. The caller selects a callee canonical telephone number from the telephone directory, and the system uses the callee canonical telephone number and the caller canonical telephone number to determine which digits of the callee canonical telephone number must be placed on the telephone line to complete the call. The system then adds the appropriate prefix for international, long distance, or local telephone calls. The telephone directory may be in the form of a software file that can be transferred to any telephone location throughout the world. The telephone directory may be directly installed at any caller location without alteration for the specific location. The user may use a keypad to enter new callee canonical telephone numbers into the telephone directory, or may manually enter a non-canonical callee telephone number.
摘要翻译：一种使用规范电话号码的系统和方法，允许在世界上与呼叫者位置无关的任何地点进行自动呼叫。呼叫者规范电话号码和多个呼叫者前缀存储在系统内。电话簿存储了世界各地的多个被叫方规范电话号码。来电者从电话簿中选择被叫方规范电话号码，系统使用被叫方规范电话号码和主叫方规范电话号码确定被叫方规则电话号码的哪些号码必须放在电话线路上以完成呼叫。然后，系统会为国际长途电话或本地电话添加适当的前缀。电话簿可以是可以传输到世界各地的任何电话位置的软件文件的形式。电话号码簿可以直接安装在任何呼叫者位置，而不会改变特定位置。用户可以使用小键盘将新的被呼叫规范电话号码输入到电话簿中，或者可以手动输入非规范被叫方电话号码。

10. 发明授权

US08150677B2 Machine translation using language order templates 有权
标题翻译：机器翻译使用语言订单模板
公开(公告)号：US08150677B2
公开(公告)日：2012-04-03
申请号：US12146531
申请日：2008-06-26
申请人： Arul A. Menezes , Christopher B. Quirk
发明人： Arul A. Menezes , Christopher B. Quirk
IPC分类号： G06F17/28
CPC分类号： G06F17/2872 , G06F17/2827
摘要： Many machine translation scenarios involve the generation of a language translation rule set based on parallel training corpuses (e.g., sentences in a first language and word-for-word translations into a second language.) However, the translation of a source corpus in a source language to a target corpus in a target language involves at least two aspects: selecting elements of the target language to match the elements of the source corpus, and ordering the target elements according to the semantic organization of the source corpus and the grammatic rules of the target language. The breadth of generalization of the translation rules derived from the training may be improved, while retaining contextual information, by formulating language order templates that specify orderings of small sets of target elements according to target element types. These language order templates may be represented with varying degrees of association with the alignment rules derived from the training in order to improve the scope of target elements to which the ordering rules and alignment rules may be applied.
摘要翻译：许多机器翻译方案涉及到基于平行训练语料库（例如，第一语言中的句子和逐字翻译成第二语言）的语言翻译规则集的生成。然而，源语料库在源中的翻译目标语言中的目标语料库的语言至少涉及两个方面：选择目标语言的元素以匹配源语料库的元素，并根据源语料库的语义组织和语法规则对目标元素进行排序目标语言。可以通过根据目标元素类型制定指定小组目标元素的排序的语言顺序模板，同时保留上下文信息，从而改进从训练中导出的翻译规则的广义化。这些语言顺序模板可以以与从训练导出的对准规则的不同程度的关联来表示，以便改进可以应用排序规则和对准规则的目标元素的范围。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式