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1. 发明授权

US08078467B2 Device and method for language model switching and adaptation 有权
标题翻译：语言模型切换和适应的设备和方法
公开(公告)号：US08078467B2
公开(公告)日：2011-12-13
申请号：US11683559
申请日：2007-03-08
申请人： Genqing Wu , Liqin Xu
发明人： Genqing Wu , Liqin Xu
IPC分类号： G10L15/28 , G10L21/00
CPC分类号： G06F17/275 , G10L15/183 , G10L2015/228
摘要： This invention provides a device and method for language model switching and adaptation, wherein the device comprises a notification manager which notifies a language model switching section of the current status information or the request for the language model of an destination application when the status of the destination application is changed; a language model switching section which selects one or more language models to be switched from a language model set according to the received current status information or the request; a LMB engine decodes a user input using the one or more selected language models; and a language model adaptation section which receives the decoded result and modifies the one or more selected language models based on the decoded result. Therefore, the user input is more accurate even if the language model switching section performs different switches among different language models and the performance of the language models are improved by the language model adaptation section.
摘要翻译：本发明提供了一种用于语言模型切换和适配的装置和方法，其中该装置包括通知管理器，当目的地状态为目的地时，该通知管理器通知语言模型切换部分当前状态信息或目的应用程序的语言模型请求申请更改; 语言模型切换部，其从根据所接收的当前状态信息或所述请求的语言模型中选择要切换的一个或多个语言模型; LMB引擎使用一个或多个所选择的语言模型解码用户输入; 以及语言模型自适应部分，其接收解码结果，并且基于解码结果修改所选择的一个或多个语言模型。因此，即使语言模型切换部在不同的语言模型之间执行不同的切换，并且语言模型的表现也被语言模型适配部分改进，用户输入更准确。

2. 发明申请

US20110093258A1 SYSTEM AND METHOD FOR TEXT CLEANING 有权
标题翻译：用于文本清理的系统和方法
公开(公告)号：US20110093258A1
公开(公告)日：2011-04-21
申请号：US12775580
申请日：2010-05-07
申请人： Liqin Xu , Hyun Chul Lee
发明人： Liqin Xu , Hyun Chul Lee
IPC分类号： G06F17/27 , G06F15/18
CPC分类号： G06F17/27
摘要： A method and system for cleaning an electronic document are provided. The method comprises: identifying at least one sentence in the electronic document; numerically representing features of the sentence to obtain a numeric feature representation associated with the sentence; inputting the numeric feature representation into a machine learning classifier, the machine learning classifier being configured to determine, based on each numeric feature representation, whether the sentence associated with that numeric feature representation is a bad sentence; and removing sentences determined to be bad sentences from the electronic document to create a cleaned document.
摘要翻译：提供了一种用于清洁电子文档的方法和系统。该方法包括：识别电子文档中的至少一个句子; 数字地表示句子的特征以获得与句子相关联的数字特征表示; 将所述数字特征表示输入到机器学习分类器中，所述机器学习分类器被配置为基于每个数字特征表示来确定与所述数字特征表示相关联的句子是否是坏句子; 并且从电子文档中移除确定为不良句子的句子以创建清洁的文档。

3. 发明申请

US20090119336A1 APPARATUS AND METHOD FOR CATEGORIZING ENTITIES BASED ON TIME-SERIES RELATION GRAPHS 审中-公开
标题翻译：基于时间序列关系图分类实体的装置和方法
公开(公告)号：US20090119336A1
公开(公告)日：2009-05-07
申请号：US12261820
申请日：2008-10-30
申请人： Liqin XU , Changjian HU , Toshikazu FUKUSHIMA
发明人： Liqin XU , Changjian HU , Toshikazu FUKUSHIMA
IPC分类号： G06F17/30
CPC分类号： G06Q10/10
摘要： The present invention provides an apparatus and a method for categorizing entities based on time-series relation graphs. In each of the time-series relation graphs within a prescribed time period, nodes represent entities, and links between the nodes represent entity relations in a corresponding time unit. The inventive apparatus for categorizing entities based on time-series relation graphs comprises: a time-series relation graph categorizing means for categorizing the nodes in each of the time-series relation graphs to generate a node category result for the corresponding time unit in time sequence; and a category result post-processing means for post-processing all the node category results for the corresponding time units in time sequence generated by the time-series relation graph categorizing means to generate finally categorized nodes.
摘要翻译：本发明提供一种基于时间序列关系图对实体进行分类的装置和方法。在规定时间段内的每个时间序列关系图中，节点表示实体，并且节点之间的链接表示相应时间单位中的实体关系。用于基于时间序列关系图对实体进行分类的本发明的装置包括：时间序列关系图分类装置，用于对每个时间序列关系图中的节点进行分类，以按时间顺序生成对应的时间单位的节点类别结果 ; 以及类别结果后处理装置，用于对由时间序列关系图分类装置产生的时间序列中的对应时间单位的所有节点类别结果进行后处理，以生成最终分类的节点。

4. 发明申请

US20060206313A1 Dictionary learning method and device using the same, input method and user terminal device using the same 审中-公开
标题翻译：字典学习方法和设备使用相同，输入法和用户终端设备使用相同
公开(公告)号：US20060206313A1
公开(公告)日：2006-09-14
申请号：US11337571
申请日：2006-01-24
申请人： Liqin Xu , Min-Yu Hsueh
发明人： Liqin Xu , Min-Yu Hsueh
IPC分类号： G06F17/21
CPC分类号： G06F17/2735
摘要： This invention provides a dictionary learning method, said method comprising the steps of: learning a lexicon and a Statistical Language Model from an untagged corpus; integrating the lexicon, the Statistical Language Mode and subsidiary word encoding information into a small size dictionary. And this invention also provides an input method on a user terminal device using the dictionary with Part-of-Speech information and a Part-of-Speech Bi-gram Model added, and a user terminal device using the same. Therefore, sentence level prediction and word level prediction can be given by the user terminal device and the input is speeded up by using the dictionary which is searched by a Patricia Tree index of a dictionary index.
摘要翻译：本发明提供一种字典学习方法，所述方法包括以下步骤：从未标记的语料库中学习词典和统计语言模型; 将词典，统计语言模式和辅助字编码信息整合到一个小尺寸的字典中。并且本发明还提供了一种在使用词典与添加了部分语音信息和部分语音双因素模型的用户终端装置上的输入方法，以及使用该词典的用户终端装置。因此，可以由用户终端设备给出句子级预测和字级预测，并且通过使用由词典索引的Patricia Tree索引搜索的字典来加速输入。

5. 发明申请

US20230030965A1 Hoverboard Attachment 有权
公开(公告)号：US20230030965A1
公开(公告)日：2023-02-02
申请号：US17502407
申请日：2021-10-15
申请人： Liqin Xu
发明人： Liqin Xu
IPC分类号： B62J11/00 , F16B2/12
摘要： This utility model relates to a kind of self-balancing scooter accessory connecting structure and accessory, comprising at least a clamping mechanism used to clamp the driving parts. The said clamping mechanism comprises the 1st gripper and the 2nd gripper. The said 1st gripper and the 2nd gripper may be mounted in a way permitting relative motion. The said 1st gripper comprises the 1st connection and 1st clamp plate. The said 2nd gripper comprises the 2nd connection and 2nd clamp plate; a self-locking structure, comprising the limit stops and length adjustment mechanism. The said 1st connection and 2nd connection are equipped with the said limit stop. The said length adjustment mechanism is mounted between two limit stops. The above self-balancing scooter accessory connecting structure is mounted between the self-balancing scooter saddle and driving parts. The 1st clamp plate and the 2nd clamp plate structures are suitable for fastening the driving parts without use of straps. This approach can eliminate safety hazards on velcro strap's susceptibility to breakdown, and make assembly and disassembly more efficiently.

6. 发明申请

US20170090006A1 Method for Passive Approximate Localization using Frequency Modulation and Software Defined Radio 审中-公开
公开(公告)号：US20170090006A1
公开(公告)日：2017-03-30
申请号：US15276737
申请日：2016-09-26
申请人： Piyush Kumar , Tathagata Mukherjee , Eduardo L. Pasiliao, JR. , Liqin Xu
发明人： Piyush Kumar , Tathagata Mukherjee , Eduardo L. Pasiliao, JR. , Liqin Xu
IPC分类号： G01S5/02
CPC分类号： G01S5/0252 , G01S5/0226
摘要： A method for localizing for GPS denied environments is provided with a plurality of broadcasting transmitters and a software-defined radio (SDR). A pre-processing stage and a query phase is executed for localizing an unknown location. The results from the preprocessing stage are made available to the query stage. A simulated power spectrum is computed for a region of interest during the pre-processing phase via the plurality of broadcasting transmitters. A transmitter location, a radius of influence, and a power contour plot of each of the plurality of broadcasting transmitters are used for computing the simulated power spectrum. Next, a peak-finding process, a filtering process, and a localization process is executed during the query phase in order to identify the unknown location.

7. 发明授权

US09116979B2 Systems and methods for creating an interest profile for a user 有权
标题翻译：用于为用户创建兴趣资料的系统和方法
公开(公告)号：US09116979B2
公开(公告)日：2015-08-25
申请号：US13309661
申请日：2011-12-02
申请人： Hyun Chul Lee , Yingbo Miao , Liqin Xu
发明人： Hyun Chul Lee , Yingbo Miao , Liqin Xu
IPC分类号： G06F17/30
CPC分类号： G06F17/30702 , G06F17/30029 , G06F17/30598 , G06F17/30864
摘要： Profiling systems and methods of creating and using user interest profiles are described. In some example embodiments, the method includes: creating a topic set which includes topics which are organized in a hierarchical structure which includes a plurality of topic levels including an upper topic level and a lower topic level, each topic in the lower topic level being a subtopic of at least one of the topics in the upper topic level; monitoring interest in a plurality of documents for a user to identify one or more documents-of-interest to the user; and based on the monitored interest for the user, creating an interest profile for the user by determining a measure of topical interest for the user for at least one of the topics at the upper topic level and for a subtopic of that topic, the subtopic being at the lower topic level.
摘要翻译：描述创建和使用用户兴趣简档的分析系统和方法。在一些示例性实施例中，该方法包括：创建主题集合，其包括以包括多个主题级别（包括上级主题级别和较低主题级别）的层次结构组织的主题，较低主题级别中的每个主题为在上一级主题中至少有一个主题的副主题; 监视对多个文档的兴趣，以供用户识别用户的一个或多个感兴趣的文档; 并且基于对用户的监视兴趣，通过为上一级主题级别的主题中的至少一个和该主题的子主题确定用户的主题兴趣度量，为用户创建兴趣简档，子主题为在较低的主题层面。

8. 发明授权

US08380492B2 System and method for text cleaning by classifying sentences using numerically represented features 有权
标题翻译：通过使用数字表示的特征对句子进行分类来进行文本清理的系统和方法
公开(公告)号：US08380492B2
公开(公告)日：2013-02-19
申请号：US12775580
申请日：2010-05-07
申请人： Liqin Xu , Hyun Chul Lee
发明人： Liqin Xu , Hyun Chul Lee
IPC分类号： G06F17/27 , G06F17/20 , G06F17/21
CPC分类号： G06F17/27
摘要： A method and system for cleaning an electronic document are provided. The method comprises: identifying at least one sentence in the electronic document; numerically representing features of the sentence to obtain a numeric feature representation associated with the sentence; inputting the numeric feature representation into a machine learning classifier, the machine learning classifier being configured to determine, based on each numeric feature representation, whether the sentence associated with that numeric feature representation is a bad sentence; and removing sentences determined to be bad sentences from the electronic document to create a cleaned document.
摘要翻译：提供了一种用于清洁电子文档的方法和系统。该方法包括：识别电子文档中的至少一个句子; 数字地表示句子的特征以获得与句子相关联的数字特征表示; 将所述数字特征表示输入到机器学习分类器中，所述机器学习分类器被配置为基于每个数字特征表示来确定与所述数字特征表示相关联的句子是否是坏句子; 并且从电子文档中移除确定为不良句子的句子以创建清洁的文档。

9. 发明授权

US08868469B2 System and method for phrase identification 有权
标题翻译：用于短语识别的系统和方法
公开(公告)号：US08868469B2
公开(公告)日：2014-10-21
申请号：US12775547
申请日：2010-05-07
申请人： Liqin Xu , Hyun Chul Lee
发明人： Liqin Xu , Hyun Chul Lee
IPC分类号： G06F15/18 , G06F17/27
CPC分类号： G06F17/27
摘要： A phrase identification system and method are provided. The method comprises: identifying one or more phrase candidates in the electronic document; selecting one of the phrase candidates; numerically representing features of the selected phrase candidates to obtain a numeric feature representation associated with that phrase candidate; and inputting the numeric feature representation into a machine learning classifier, the machine learning classifier being configured to determine, based on each numeric feature representation, whether the phrase candidate associated with that numeric feature representation is a phrase.
摘要翻译：提供短语识别系统和方法。该方法包括：识别电子文档中的一个或多个短语候选者; 选择短语候选人之一; 数字地表示所选择的短语候选的特征以获得与该短语候选相关联的数字特征表示; 以及将所述数字特征表示输入到机器学习分类器中，所述机器学习分类器被配置为基于每个数字特征表示来确定与所述数字特征表示相关联的短语候选是短语。

10. 发明申请

US20080040099A1 DEVICE AND METHOD FOR LANGUAGE MODEL SWITCHING AND ADAPTION 有权
标题翻译：用于语言模式切换和自适应的设备和方法
公开(公告)号：US20080040099A1
公开(公告)日：2008-02-14
申请号：US11683559
申请日：2007-03-08
申请人： Genqing Wu , Liqin Xu
发明人： Genqing Wu , Liqin Xu
IPC分类号： G06F17/27
CPC分类号： G06F17/275 , G10L15/183 , G10L2015/228
摘要： This invention provides a device and method for language model switching and adaptation, wherein the device comprises a notification manager which notifies a language model switching section of the current status information or the request for the language model of an destination application when the status of the destination application is changed; a language model switching section which selects one or more language models to be switched from a language model set according to the received current status information or the request; a LMB engine decodes a user input using the one or more selected language models; and a language model adaptation section which receives the decoded result and modifies the one or more selected language models based on the decoded result. Therefore, the user input is more accurate even if the language model switching section performs different switches among different language models and the performance of the language models are improved by the language model adaptation section.
摘要翻译：本发明提供了一种用于语言模型切换和适配的装置和方法，其中该装置包括通知管理器，当目的地状态为目的地时，该通知管理器通知语言模型切换部分当前状态信息或目的应用程序的语言模型请求申请更改; 语言模型切换部，其从根据所接收的当前状态信息或所述请求的语言模型中选择要切换的一个或多个语言模型; LMB引擎使用一个或多个所选择的语言模型解码用户输入; 以及语言模型自适应部分，其接收解码结果，并且基于解码结果修改所选择的一个或多个语言模型。因此，即使语言模型切换部在不同的语言模型之间执行不同的切换，并且语言模型的表现也被语言模型适配部分改进，用户输入更准确。

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