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公开(公告)号：US08171403B2
公开(公告)日：2012-05-01
申请号：US12545045
申请日：2009-08-20
IPC分类号： G06F17/00
CPC分类号： G06F17/2282 , G06F17/2765
摘要： Systems and methods for managing acronym expansions are described. In one example, the method comprises creating from the plurality of identified expansions a case-insensitive group of identified expansions, wherein each identified expansion of the case-insensitive group match in a case-insensitive manner the other identified expansions of the case-insensitive group. The method also comprises assigning a weight to the text source location for each identified expansion in the case-insensitive group. The method further comprises creating from the case-insensitive group at least one case-sensitive group of identified expansions, wherein each identified expansion of the case-sensitive group of identified expansions match in a case-sensitive manner the other identified expansions of the group of case-sensitive identified expansions. The method also comprises for each case-sensitive group of identified expansions, determining from the weights of the text source locations for the identified expansions a total weight. The method further comprises comparing the total weights for the at least one group of case-sensitive identified expansions. The method also comprises selecting a first group of case-sensitive identified expansions from the at least one group of case-sensitive identified expansions upon comparing the total weights. The method further comprises associating an identified expansion corresponding to the first case-sensitive group of identified expansions to the potential acronym.
摘要翻译： 描述用于管理首字母缩略词扩展的系统和方法。 在一个示例中，该方法包括从多个识别的扩展中创建不区分大小写的标识扩展组，其中每个识别的不区分大小写的组的扩展以不区分大小写的方式匹配不区分大小写的组的其他标识的扩展 。 该方法还包括为不区分大小写的组中的每个识别的扩展分配权重给文本源位置。 该方法还包括从不区分大小写的组创建至少一个识别的扩展的区分大小写的群组，其中所识别的扩展的区分大小写组的每个已识别的扩展以区分大小写的方式匹配组的另一个标识的扩展 区分大小写的扩展。 该方法还包括针对每个区分大小写的已识别的扩展，从所识别的扩展的文本源位置的权重确定总权重。 所述方法还包括比较所述至少一组区分大小写的识别扩展的总权重。 该方法还包括在比较总权重时从所述至少一组区分大小写的识别的扩展中选择第一组区分大小写的标识的扩展。 所述方法还包括将与所识别的扩展的第一区分大小写的对应的识别的扩展与潜在的首字母缩写相关联。
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2.发明授权Systems and methods for marking and later identifying barcoded items using speech 有权使用语音标记和随后识别条形码项目的系统和方法公开(公告)号：US07233903B2
公开(公告)日：2007-06-19
申请号：US09817475
申请日：2001-03-26
申请人： Thiruvilwamalai Venkatraman Raman , Jorge Campello de Souza , Bruce Alexander Wilson , Jeffrey Alan Kusnitz
发明人： Thiruvilwamalai Venkatraman Raman , Jorge Campello de Souza , Bruce Alexander Wilson , Jeffrey Alan Kusnitz
IPC分类号： G10L21/00
CPC分类号： G06K19/06028 , G10L15/26
摘要： Methods and/or systems/apparatus using speech for marking and subsequently identifying one or more items having electronically-readable identifiers respectively marked thereon comprise the following steps and/or perform the following operations. First, at least a portion of the electronically-readable identifier marked on an item is inputted. A user then inputs a spoken utterance that corresponds to the item. Next, the electronically-readable identifier inputted from the item is associated with the spoken utterance input from the user. Thus, when the electronically-readable identifier is inputted a next time, the spoken utterance associated with the electronically-readable identifier may be outputted. The present invention may also be embodied as an article of manufacture comprising a machine readable medium containing one or more programs which when executed implement the steps/operations of the invention.
摘要翻译： 使用语音标记和随后识别其上分别标记有电子可读标识符的一个或多个项目的方法和/或系统/装置包括以下步骤和/或执行以下操作。 首先，输入在项目上标记的电子识别标识符的至少一部分。 然后，用户输入对应于该项的语音话语。 接下来，从该项目输入的电子可读标识符与来自用户的口语发音输入相关联。 因此，当下一次输入电子可读标识符时，可以输出与电子可读标识符相关联的说话话语。 本发明还可以被实施为包括包含一个或多个程序的机器可读介质的制造品，所述程序在执行时执行本发明的步骤/操作。
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公开(公告)号：US20120078719A1
公开(公告)日：2012-03-29
申请号：US12890976
申请日：2010-09-27
CPC分类号： G06F17/30882 , G06Q30/0241 , G06Q30/0256
摘要： Systems and associated methods for clustering a plurality of nodes based on connectivity among the plurality of nodes, determining relevant content of the clusters, and applying knowledge regarding the relevant content are described. The nodes can include for example web-based documents such as web pages. The clusters can include for example groups of web pages that are linked together, as via hyperlinks. The relevant content can include one or more topics associated with the web page, as for example determined via text mining. Applying the knowledge regarding the relevant content can include for example using the one or more topics associated with the web pages to augment search results and/or conduct contextual advertising.
摘要翻译： 描述了基于多个节点之间的连接性，确定集群的相关内容以及应用关于相关内容的知识来聚集多个节点的系统和相关方法。 节点可以包括例如基于web的文档，例如网页。 集群可以包括例如通过超链接链接在一起的网页组。 相关内容可以包括与网页相关联的一个或多个主题，例如通过文本挖掘确定的。 应用关于相关内容的知识可以包括例如使用与网页相关联的一个或多个主题来增加搜索结果和/或进行上下文广告。
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公开(公告)号：US06654955B1
公开(公告)日：2003-11-25
申请号：US08772047
申请日：1996-12-19
IPC分类号： G06F944
CPC分类号： G06F3/16 , G10L2015/228
摘要： A method and apparatus for enabling existing application programs for operation in speech recognition environments. Existing applications programs written with a dynamically linked library or object library, with no speech recognition capability, are capable of accepting input from a speech recognition without modification. An alternate dynamic library or object library is provided that supports the same interface or objects used by the original program. The alternate library is written so that it is aware of and receives input from the speech recognition system. The alternate library passes the input to the application program using the existing interfaces.
摘要翻译： 一种使现有应用程序能够在语音识别环境中操作的方法和装置。 用动态链接的库或对象库编写的，没有语音识别功能的现有应用程序能够接受来自语音识别的输入而无需修改。 提供了一个备用的动态库或对象库，支持原始程序使用的相同接口或对象。 替代库被写入，以便它知道并接收来自语音识别系统的输入。 备用库使用现有接口将输入传递给应用程序。
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公开(公告)号：US09922129B2
公开(公告)日：2018-03-20
申请号：US12890976
申请日：2010-09-27
CPC分类号： G06F17/30882 , G06Q30/0241 , G06Q30/0256
摘要： Systems and associated methods for clustering a plurality of nodes based on connectivity among the plurality of nodes, determining relevant content of the clusters, and applying knowledge regarding the relevant content are described. The nodes can include for example web-based documents such as web pages. The clusters can include for example groups of web pages that are linked together, as via hyperlinks. The relevant content can include one or more topics associated with the web page, as for example determined via text mining. Applying the knowledge regarding the relevant content can include for example using the one or more topics associated with the web pages to augment search results and/or conduct contextual advertising.
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