利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

27 条记录 (耗时 0.057 秒)

    Mathematical expression recognition
    2.
    发明授权
    Mathematical expression recognition 有权
    数学表达式识别

    公开(公告)号：US07561737B2

    公开(公告)日：2009-07-14

    申请号：US11155604

    申请日：2005-06-20

    申请人： Yu Zou ,  Lei Huang ,  Mingqing Xu ,  Jian-Lai Zhou ,  Yue Li ,  Dongmei Zhang ,  Xiaohui Hou ,  Wenli Zhu ,  Hongyun Yang ,  Xianfang Wang ,  Jiang Wu ,  Jian Wang

    发明人： Yu Zou ,  Lei Huang ,  Mingqing Xu ,  Jian-Lai Zhou ,  Yue Li ,  Dongmei Zhang ,  Xiaohui Hou ,  Wenli Zhu ,  Hongyun Yang ,  Xianfang Wang ,  Jiang Wu ,  Jian Wang

    IPC分类号： G06K9/18

    CPC分类号： G06K9/222

    摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing a multi-path framework is described. The framework may include symbol grouping and recognition, tabular structure analysis, subordinate sub-expression analysis, subscript/superscript analysis and character determination, and semantic structure analysis components. A method for recognizing a handwritten mathematical expression includes receiving a plurality of input strokes corresponding to a handwritten mathematical expression and providing a candidate list of recognized candidate expressions based upon the input strokes. Input strokes are grouped into symbols, tabular structures are determined, dominant symbol candidates and subordinate symbols are determined, and subscript and superscript structures are determined.

    摘要翻译： 描述了通过提供多路径框架来将手写数学表达式识别并输入到计算机中的机制。 框架可以包括符号分组和识别，表格结构分析，从属子表达分析，下标/上标分析和字符确定，以及语义结构分析组件。 用于识别手写数学表达式的方法包括接收与手写数学表达式相对应的多个输入笔画，并且基于输入的笔画提供所识别的候选表达的候选列表。 输入笔划分为符号，确定表格结构，确定主要符号候选和下级符号，并确定下标和上标结构。

    Multi-modal handwriting recognition correction
    3.
    发明授权
    Multi-modal handwriting recognition correction 有权
    多模式手写识别校正

    公开(公告)号：US07506271B2

    公开(公告)日：2009-03-17

    申请号：US10734305

    申请日：2003-12-15

    申请人： Jian Wang ,  Jian-Lai Zhou ,  Jiang Wu ,  Hongyun Yang ,  Xianfang Wang ,  Wenli Zhu

    发明人： Jian Wang ,  Jian-Lai Zhou ,  Jiang Wu ,  Hongyun Yang ,  Xianfang Wang ,  Wenli Zhu

    IPC分类号： G06F3/048

    CPC分类号： G10L15/24 ,  G06K9/00436 ,  G06K9/00872

    摘要： Systems, methods, and computer-readable media for processing electronic ink receive an electronic ink input; convert the electronic ink input to a first machine-generated object using handwriting recognition; display the first machine-generated object on a display; receive speech input; convert the speech input to a second machine-generated object using speech recognition; generate a list of machine-generated objects based on the electronic ink input, the list including the first machine-generated object and alternative machine-generated objects and functioning as a dictionary for converting the speech input; and replace the first machine-generated object with the second machine-generated object. A user may confirm that the second machine-generated object should replace the first machine-generated object. The systems and methods may generate a list of alternative machine-generated object candidates to the first machine-generated object based on handwriting recognition of the electronic ink input alone or in combination with a statistical language model.

    摘要翻译： 用于处理电子墨水的系统，方法和计算机可读介质接收电子墨水输入; 使用手写识别将电子墨水输入转换为第一机器生成对象; 在显示器上显示第一台机器生成的对象; 接收语音输入; 使用语音识别将语音输入转换为第二机器生成对象; 基于电子墨水输入生成机器生成对象的列表，该列表包括第一机器生成的对象和替代的机器生成的对象，并且用作用于转换语音输入的字典; 并用第二个机器生成的对象替换第一个机器生成的对象。 用户可以确认第二机器生成的对象应该替换第一机器生成的对象。 系统和方法可以基于单独的电子墨水输入的手写识别或者与统计语言模型结合来生成针对第一机器生成对象的备选的机器生成对象候选的列表。

    Analyzing scripts and determining characters in expression recognition
    4.
    发明授权
    Analyzing scripts and determining characters in expression recognition 有权
    分析脚本并确定表达式识别中的字符

    公开(公告)号：US07561739B2

    公开(公告)日：2009-07-14

    申请号：US11155748

    申请日：2005-06-20

    申请人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xianfang Wang ,  Xiaohui Hou ,  Dongmei Zhang ,  Zhouchen Lin ,  Jian Wang

    发明人： Mingqing Xu ,  Yu Zou ,  Lei Huang ,  Jian-Lai Zhou ,  Xianfang Wang ,  Xiaohui Hou ,  Dongmei Zhang ,  Zhouchen Lin ,  Jian Wang

    IPC分类号： G06K9/18

    CPC分类号： G06K9/222

    摘要： A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing part of a multi-path framework is described. The part of the multi-path framework includes a subscript/superscript analysis and character determination component that is designed to identify subscript and superscript elements. A method for analyzing a handwritten mathematical expression includes receiving a symbols corresponding to handwritten mathematical expression input strokes, identifying subscript and/or superscript structures, and determining a character for each symbol of the set. A graph of vertexes and edges may be created based upon the set of symbols and the graph may be searched to determine optimized candidates.

    摘要翻译： 描述了通过提供一部分多路径框架来将手写数学表达式识别并输入计算机的机制。 多路径框架的一部分包括下标/上标分析和字符确定组件，其被设计为识别下标和上标元素。 一种用于分析手写数学表达式的方法包括接收对应于手写数学表达式输入笔画的符号，识别下标和/或上标结构，以及确定该组的每个符号的字符。 可以基于符号集创建顶点和边缘的图形，并且可以搜索图形以确定优化的候选。

    Multi-modal handwriting recognition correction
    7.
    发明申请
    Multi-modal handwriting recognition correction 有权
    多模式手写识别校正

    公开(公告)号：US20050128181A1

    公开(公告)日：2005-06-16

    申请号：US10734305

    申请日：2003-12-15

    申请人： Jian Wang ,  Jian-Lai Zhou ,  Jiang Wu ,  Hongyun Yang ,  Xianfang Wang ,  Wenli Zhu

    发明人： Jian Wang ,  Jian-Lai Zhou ,  Jiang Wu ,  Hongyun Yang ,  Xianfang Wang ,  Wenli Zhu

    IPC分类号： G06F17/00 ,  G06K9/00 ,  G10L15/22 ,  G10L15/24

    CPC分类号： G10L15/24 ,  G06K9/00436 ,  G06K9/00872

    摘要： Systems, methods, and computer-readable media for processing electronic ink receive an electronic ink input; convert the electronic ink input to a first machine-generated object using handwriting recognition; display the first machine-generated object on a display; receive speech input; convert the speech input to a second machine-generated object using speech recognition; generate a list of machine-generated objects based on the electronic ink input, the list including the first machine-generated object and alternative machine-generated objects and functioning as a dictionary for converting the speech input; and replace the first machine-generated object with the second machine-generated object. The machine-generated objects may correspond to words, lines, and/or other groupings of machine-generated text. A user may confirm that the second machine-generated object should replace the first machine-generated object and the system will perform the replacement. The systems and methods may generate a list of alternative machine-generated object candidates to the first machine-generated object based on handwriting recognition of the electronic ink input alone or in combination with a statistical language model.

    摘要翻译： 用于处理电子墨水的系统，方法和计算机可读介质接收电子墨水输入; 使用手写识别将电子墨水输入转换为第一机器生成对象; 在显示器上显示第一台机器生成的对象; 接收语音输入; 使用语音识别将语音输入转换为第二机器生成对象; 基于电子墨水输入生成机器生成对象的列表，该列表包括第一机器生成的对象和替代的机器生成的对象，并且用作用于转换语音输入的字典; 并用第二个机器生成的对象替换第一个机器生成的对象。 机器生成的对象可以对应于机器生成的文本的单词，行和/或其他分组。 用户可以确认第二机器生成的对象应该替换第一个机器生成的对象，并且系统将执行替换。 系统和方法可以基于单独的电子墨水输入的手写识别或者与统计语言模型结合来生成针对第一机器生成对象的备选的机器生成对象候选的列表。

    Inferring opinions based on learned probabilities
    8.
    发明授权
    Inferring opinions based on learned probabilities 失效
    根据学习概率推论意见

    公开(公告)号：US07761287B2

    公开(公告)日：2010-07-20

    申请号：US11552057

    申请日：2006-10-23

    申请人： Hua Li ,  Jian-Lai Zhou ,  Dongmei Zhang, legal representative ,  Zheng Chen ,  Jian Wang

    发明人： Hua Li ,  Jian-Lai Zhou ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/20 ,  G06Q30/00

    CPC分类号： G06F17/2715 ,  G06Q30/02 ,  G06Q30/0217 ,  G06Q30/0282

    摘要： An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.

    摘要翻译： 意见系统根据该训练数据和训练数据概率所指示的句子包含通常用于表达意见的特定词汇序列的概率来推断产品评论句子的意见。 当提供句子时，意见系统识别通常用于表达意见的句子的部分语音的可能序列以及序列是句子的正确序列的概率。 对于每个序列，意见系统然后检索从训练数据得出的概率，该序列包含表达意见的意见词。 然后，意见系统从训练数据中检索出用于表达意见的句子意见词的概率。 然后，意见系统将概率组合以产生具有该序列的句子表达意见的总体概率。

    INFERRING OPINIONS BASED ON LEARNED PROBABILITIES
    9.
    发明申请
    INFERRING OPINIONS BASED ON LEARNED PROBABILITIES 失效
    基于认知可行性的感染意见

    公开(公告)号：US20080097758A1

    公开(公告)日：2008-04-24

    申请号：US11552057

    申请日：2006-10-23

    申请人： Hua Li ,  Jian-Lai Zhou ,  Zheng Chen ,  Jian Wang ,  Dongmei Zhang

    发明人： Hua Li ,  Jian-Lai Zhou ,  Zheng Chen ,  Jian Wang ,  Dongmei Zhang

    IPC分类号： G10L15/00

    CPC分类号： G06F17/2715 ,  G06Q30/02 ,  G06Q30/0217 ,  G06Q30/0282

    摘要： An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.

    摘要翻译： 意见系统根据该训练数据和训练数据概率所指示的句子包含通常用于表达意见的特定词汇序列的概率来推断产品评论的句子的意见。 当提供句子时，意见系统识别通常用于表达意见的句子的部分语音的可能序列以及序列是句子的正确序列的概率。 对于每个序列，意见系统然后检索从训练数据得出的概率，该序列包含表达意见的意见词。 然后，意见系统从训练数据中检索出用于表达意见的句子意见词的概率。 然后，意见系统将概率组合以产生具有该序列的句子表达意见的总体概率。

    Calculating cost measures between HMM acoustic models
    10.
    发明申请
    Calculating cost measures between HMM acoustic models 有权
    计算HMM声学模型之间的成本测量

    公开(公告)号：US20080059184A1

    公开(公告)日：2008-03-06

    申请号：US11507859

    申请日：2006-08-22

    申请人： Frank Kao-Ping K. Soong ,  Jian-Lai Zhou ,  Peng Liu

    发明人： Frank Kao-Ping K. Soong ,  Jian-Lai Zhou ,  Peng Liu

    IPC分类号： G10L15/14

    CPC分类号： G10L15/142

    摘要： Measurement of Kullback-Leibler Divergence (KLD) between hidden Markov models (HMM) of acoustic units utilizes an unscented transform to approximate KLD between Gaussian mixtures. Dynamic programming equalizes the number of states between HMMs having a different number of states, while the total KLD of the HMMs is obtained by summing individual KLDs calculated by state pair by state pair comparisons.

    摘要翻译： 声学单元的隐马尔可夫模型（HMM）之间的Kullback-Leibler发散（KLD）的测量利用无差异变换来近似高斯混合之间的KLD。 动态规划使具有不同数量状态的HMM之间的状态数量相等，而HMM的总KLD是通过将通过状态对比较的状态对计算的各个KLD求和来获得的。