公开(公告)号：US20070124479A1

公开(公告)日：2007-05-31

申请号：US11289147

申请日：2005-11-29

申请人： Tanveer Faruquie ,  Sandeep Jindal ,  Abhishek Verma

发明人： Tanveer Faruquie ,  Sandeep Jindal ,  Abhishek Verma

IPC分类号： G06F15/16

CPC分类号： G06F9/54 ,  H04L67/02

摘要： A system (30) and method are provided for single-pass execution of dynamic pages across multiple request-response cycles. The system (30) comprises a client (32) and server (34) in communication with one another. A container (35) resides on the server and handles requests made for the result of a dynamic page (36). The container controls the processing of the dynamic page. If the dynamic page requires additional information to continue processing, an intermediate request (44) is transmitted to the client, which responds with an intermediate response (46) containing the additional information. A notifier servlet (38) receives the intermediate response and passes the information to the dynamic page so that execution can resume without interruption.

摘要翻译： 提供了一种用于在多个请求 - 响应周期内单次执行动态页面的系统（30）和方法。 系统（30）包括彼此通信的客户机（32）和服务器（34）。 容器（35）驻留在服务器上并处理为动态页面（36）产生的请求。 容器控制动态页面的处理。 如果动态页面需要附加信息以继续处理，则中间请求（44）被发送到客户端，客户端用包含附加信息的中间响应（46）进行响应。 通知器servlet（38）接收中间响应并将该信息传递给动态页面，以便执行可以不中断地恢复。

公开(公告)号：US20060015323A1

公开(公告)日：2006-01-19

申请号：US10890496

申请日：2004-07-13

申请人： Raghavendra Udupa ,  Tanveer Faruquie

发明人： Raghavendra Udupa ,  Tanveer Faruquie

IPC分类号： G06F17/27

CPC分类号： G06F17/2818

摘要： Methods, apparatuses and computer program products for decoding source text in a first language to target text in a second language are disclosed. The source text is decoded into an intermediate text portion based on a fixed alignment between words in the source text and words in the intermediate text portion and an alignment between words in the source text and words in the intermediate text portion is determined. The steps of decoding the source text and determining an alignment are alternately repeated while a decoding improvement in the intermediate text portion can be obtained. Finally, the intermediate text portion is output as the target text. The step of alternately repeating the source text decoding and alignment determination steps may be repeated for each of a plurality of lengths of the intermediate text portion.

摘要翻译： 公开了用于以第一语言解码源文本以以第二语言定向文本的方法，装置和计算机程序产品。 源文本基于源文本中的单词和中间文本部分中的单词之间的固定对齐以及源文本中的单词之间的对齐以及中间文本部分中的单词被确定为中间文本部分。 交替地重复解码源文本和确定对准的步骤，同时可以获得中间文本部分的解码改善。 最后，输出中间文本部分作为目标文本。 可以针对中间文本部分的多个长度中的每一个重复交替地重复源文本解码和对准确定步骤的步骤。

公开(公告)号：US08682898B2

公开(公告)日：2014-03-25

申请号：US12771543

申请日：2010-04-30

申请人： Sachindra Joshi ,  Tanveer Faruquie ,  Hima Prasad Karanam ,  Marvin Mendelssohn ,  Mukesh Kumar Mohania ,  Angel Marie Smith ,  L Venkata Subramaniam ,  Girish Venkatachaliah

发明人： Sachindra Joshi ,  Tanveer Faruquie ,  Hima Prasad Karanam ,  Marvin Mendelssohn ,  Mukesh Kumar Mohania ,  Angel Marie Smith ,  L Venkata Subramaniam ,  Girish Venkatachaliah

IPC分类号： G06F7/00 ,  G06F17/00

CPC分类号： G06F17/2735 ,  G06F17/2795

摘要： A clustering-based approach to data standardization is provided. Certain embodiments take as input a plurality of addresses, identify one or more features of the addresses, cluster the addresses based on the one or more features, utilize the cluster(s) to provide a data-based context useful in identifying one or more synonyms for elements contained in the address(es), and standardize the address(es) to an acceptable format, with one or more synonyms and/or other elements being added to or taken away from the input address(es) as part of the standardization process.

摘要翻译： 提供了基于聚类的数据标准化方法。 某些实施例将多个地址作为输入，识别地址的一个或多个特征，基于一个或多个特征聚集地址，利用群集提供用于识别一个或多个同义词的基于数据的上下文 对于包含在地址中的元素，并将地址标准化为可接受的格式，其中一个或多个同义词和/或其他元素作为标准化的一部分被添加到或从输入地址中取走 处理。

公开(公告)号：US20070010989A1

公开(公告)日：2007-01-11

申请号：US11176932

申请日：2005-07-07

申请人： Tanveer Faruquie ,  Hemanta Maji ,  Raghavendra Udupa

发明人： Tanveer Faruquie ,  Hemanta Maji ,  Raghavendra Udupa

IPC分类号： G06F17/28

CPC分类号： G06F17/2818

摘要： A source sentence is decoded in an iterative manner. At each step a set of partially constructed target sentences are collated, each of which has a score or an associated probability, computed from a language model score and a translation model score. At each iteration, a family of exponentially many alignments is constructed and the optimal translation for this family is found out. To construct the alignment family, a set of transformation operators is employed. The described decoding algorithm is based on the Alternating Optimization framework and employs dynamic programming. Pruning and caching techniques may be used to speed up the decoding.

摘要翻译： 源句子以迭代的方式进行解码。 在每个步骤中，根据语言模型得分和翻译模型得分计算出一组部分构造的目标句子，每个部分具有得分或相关概率。 在每次迭代中，构建了一系列指数多的比对，并且发现了该家族的最佳翻译。 为了构建对齐族，采用一组转换算子。 所描述的解码算法基于交替优化框架并采用动态规划。 可以使用修剪和缓存技术来加速解码。