BROWSING HISTORY LANGUAGE MODEL FOR INPUT METHOD EDITOR
    1.
    发明申请
    BROWSING HISTORY LANGUAGE MODEL FOR INPUT METHOD EDITOR 审中-公开
    浏览输入法编辑器的历史语言模型

    公开(公告)号:US20150199332A1

    公开(公告)日:2015-07-16

    申请号:US14423950

    申请日:2012-08-31

    Applicant: Mu Li Xi Chen

    Inventor: Mu Li Xi Chen

    Abstract: Some examples may include generating a browsing history language model based on browsing history information. Further, some implementations may include predicting and presenting a non-Latin character string based at least in part on the browsing history language model, such as in response to receiving a Latin character string via an input method editor interface.

    Abstract translation: 一些示例可以包括基于浏览历史信息生成浏览历史语言模型。 此外,一些实现可以包括至少部分地基于浏览历史语言模型来预测和呈现非拉丁字符串,诸如响应于经由输入方法编辑器界面接收拉丁字符串。

    Statistical machine translation processing
    2.
    发明申请
    Statistical machine translation processing 审中-公开
    统计机器翻译处理

    公开(公告)号:US20120022850A1

    公开(公告)日:2012-01-26

    申请号:US13250417

    申请日:2011-09-30

    CPC classification number: G06F17/2818

    Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

    Abstract translation: 提供了统计机器翻译(SMT)的方法。 该方法包括基于源语言(SL)的语法和将样本SL语句与样本目标语言(TL)语句对齐的多个对齐矩阵来生成重排序知识。 该方法还包括接收SL字串并将SL字串解析成表示SL字串的句法属性的解析树。 基于所生成的重新排序知识来重新排序解析树上的节点,以提供重新排序的字串。 该方法还包括翻译多个重新排序的字串以创建多个TL字串,并且将统计上优选的TL字串识别为SL字串的优选翻译。

    Technologies for statistical machine translation based on generated reordering knowledge
    3.
    发明授权
    Technologies for statistical machine translation based on generated reordering knowledge 有权
    基于生成重排序知识的统计机器翻译技术

    公开(公告)号:US08046211B2

    公开(公告)日:2011-10-25

    申请号:US11977133

    申请日:2007-10-23

    CPC classification number: G06F17/2818

    Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

    Abstract translation: 提供了统计机器翻译(SMT)的方法。 该方法包括基于源语言(SL)的语法和将样本SL语句与样本目标语言(TL)语句对齐的多个对齐矩阵来生成重排序知识。 该方法还包括接收SL字串并将SL字串解析成表示SL字串的句法属性的解析树。 基于所生成的重新排序知识来重新排序解析树上的节点,以提供重新排序的字串。 该方法还包括翻译多个重新排序的字串以创建多个TL字串,并且将统计上优选的TL字串识别为SL字串的优选翻译。

    Query speller
    4.
    发明授权
    Query speller 有权
    查询拼写器

    公开(公告)号:US07818332B2

    公开(公告)日:2010-10-19

    申请号:US11465023

    申请日:2006-08-16

    CPC classification number: G06F17/3064

    Abstract: Candidate suggestions for correcting misspelled query terms input into a search application are automatically generated. A score for each candidate suggestion can be generated using a first decoding pass and paths through the suggestions can be ranked in a second decoding pass. Candidate suggestions can be generated based on typographical errors, phonetic mistakes and/or compounding mistakes. Furthermore, a ranking model can be developed to rank candidate suggestions to be presented to a user.

    Abstract translation: 自动生成用于纠正输入到搜索应用程序中的拼错查询条件的候选建议。 可以使用第一解码通道来生成每个候选建议的得分,并且通过建议的路径可以被排列在第二解码通行证中。 可以根据印刷错误,语音错误和/或复合错误生成候选建议。 此外,可以开发排名模型来排列要呈现给用户的候选建议。

    HEAT DISSIPATION DEVICE
    5.
    发明申请
    HEAT DISSIPATION DEVICE 审中-公开
    散热装置

    公开(公告)号:US20100059203A1

    公开(公告)日:2010-03-11

    申请号:US12399030

    申请日:2009-03-06

    Abstract: A heat dissipation device for an electronic component includes a heat sink thermally contacting the electronic component and a label member fixed on the heat sink for providing information. The heat sink includes a base and a plurality of fins extending upwardly from a top surface of the base. Two engaging portions protrude from two spaced fins, towards each other. Two flanges angle outwardly from two opposite lateral sides of the label member and clasp the two engaging portions of the heat sink, respectively.

    Abstract translation: 一种用于电子部件的散热装置包括热接触电子部件的散热器和固定在散热器上的用于提供信息的标签部件。 散热器包括基部和从基部的顶表面向上延伸的多个翅片。 两个接合部分从两个隔开的翅片彼此朝向彼此突出。 两个法兰从标签构件的两个相对的侧面向外侧倾斜并分别扣住散热器的两个接合部分。

    Distributional similarity-based models for query correction
    6.
    发明授权
    Distributional similarity-based models for query correction 有权
    基于分布相似性的查询校正模型

    公开(公告)号:US07590626B2

    公开(公告)日:2009-09-15

    申请号:US11589557

    申请日:2006-10-30

    Applicant: Mu Li Ming Zhou

    Inventor: Mu Li Ming Zhou

    Abstract: A distributional similarity between a word of a search query and a term of a candidate word sequences is used to determine an error model probability that describes the probability of the search query given the candidate word sequence. The error model probability is used to determine a probability of the candidate word sequence given the search query. The probability of the candidate word sequence given the search query is used to select a candidate word sequence as a corrected word sequence for the search query. Distributional similarity is also used to build features that are applied in maximum entropy model to compute the probability of the candidate word sequence given the search query.

    Abstract translation: 使用搜索查询的词和候选词序列的词之间的分布相似度来确定描述候选词序列的搜索查询的概率的误差模型概率。 误差模型概率用于确定给定搜索查询的候选词序列的概率。 使用给出搜索查询的候选词序列的概率用于选择候选词序列作为搜索查询的校正单词序列。 分布相似性也用于构建在最大熵模型中应用的特征,以计算给定搜索查询的候选词序列的概率。

    Statistical machine translation processing
    7.
    发明申请
    Statistical machine translation processing 有权
    统计机器翻译处理

    公开(公告)号:US20090106015A1

    公开(公告)日:2009-04-23

    申请号:US11977133

    申请日:2007-10-23

    CPC classification number: G06F17/2818

    Abstract: A method of statistical machine translation (SMT) is provided. The method comprises generating reordering knowledge based on the syntax of a source language (SL) and a number of alignment matrices that map sample SL sentences with sample target language (TL) sentences. The method further comprises receiving a SL word string and parsing the SL word string into a parse tree that represents the syntactic properties of the SL word string. The nodes on the parse tree are reordered based on the generated reordering knowledge in order to provide reordered word strings. The method further comprises translating a number of reordered word strings to create a number of TL word strings, and identifying a statistically preferred TL word string as a preferred translation of the SL word string.

    Abstract translation: 提供了统计机器翻译(SMT)的方法。 该方法包括基于源语言(SL)的语法和将样本SL语句与样本目标语言(TL)语句对齐的多个对齐矩阵来生成重新排序知识。 该方法还包括接收SL字串并将SL字串解析成表示SL字串的句法属性的解析树。 基于所生成的重新排序知识来重新排序解析树上的节点,以提供重新排序的字串。 该方法还包括翻译多个重新排序的字串以创建多个TL字串,并且将统计上优选的TL字串识别为SL字串的优选翻译。

    Query spelling correction
    8.
    发明申请
    Query spelling correction 审中-公开
    查询拼写更正

    公开(公告)号:US20090083255A1

    公开(公告)日:2009-03-26

    申请号:US11903591

    申请日:2007-09-24

    Applicant: Mu Li

    Inventor: Mu Li

    CPC classification number: G06F17/273 G06F16/3325 G06F16/951

    Abstract: A technology for query spelling correction is disclosed. In one method approach, web search results generated based on a query term are received. The web search results are used as a part of determining a correction candidate for the query term if the query term is incorrectly spelt.

    Abstract translation: 公开了一种用于查询拼写校正的技术。 在一种方法中,接收基于查询项生成的网络搜索结果。 如果查询项不正确拼写,则网页搜索结果被用作确定查询项的校正候选的一部分。

    Method and apparatus for compressing asymmetric clustering language models
    9.
    发明授权
    Method and apparatus for compressing asymmetric clustering language models 有权
    用于压缩非对称聚类语言模型的方法和装置

    公开(公告)号:US07231349B2

    公开(公告)日:2007-06-12

    申请号:US10448498

    申请日:2003-05-30

    Applicant: Mu Li Jianfeng Gao

    Inventor: Mu Li Jianfeng Gao

    CPC classification number: G10L15/197 G06F17/277 G10L15/285

    Abstract: A method and data structure are provided for efficiently storing asymmetric clustering models. The models are stored by storing a first level record for a word identifier and two second level records, one for a word identifier and one for a cluster identifier. An index to the second level word record and an index to the second level cluster record are stored in the first level record. Many of the records in the data structure include both cluster sub-model parameters and word sub-model parameters.

    Abstract translation: 提供了一种方法和数据结构,用于有效地存储非对称聚类模型。 通过存储用于字标识符的第一级记录和两个第二级记录来存储模型,一个用于字标识符,一个用于集群标识符。 第二级记录的索引和第二级集群记录的索引存储在第一级记录中。 数据结构中的许多记录包括集群子模型参数和单词子模型参数。

    Personal language model for input method editor

    公开(公告)号:US09824085B2

    公开(公告)日:2017-11-21

    申请号:US14423914

    申请日:2012-08-31

    Applicant: Mu Li Xi Chen

    Inventor: Mu Li Xi Chen

    CPC classification number: G06F17/2863 G06F17/2223 G06F17/276

    Abstract: Some examples include generating a personal language model based on linguistic characteristics of one or more files stored at one or more locations in a file system. Further, some implementations include predicting and presenting a non-Latin character string based at least in part on the personal language model, such as in response to receiving a Latin character string via an input method editor interface.

Patent Agency Ranking