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    • 1. 发明申请
    • FAULT-TOLERANT INPUT METHOD EDITOR
    • 容错输入法编辑器
    • US20160078013A1
    • 2016-03-17
    • US14787082
    • 2013-04-27
    • Baohua LIAOAlbert J. WONGHannah C. TANGFan YANGHenry OUYuanbo ZHANG
    • Baohua LiaoAlbert J. WongHannah C. TangFan YangHenry OuYuanbo Zhang
    • G06F17/24G06N5/04G06F3/01
    • G06F17/24G06F3/018G06F17/2223G06N5/048
    • A computer-implemented method can include receiving, at a computing device including one or more processors, an input from a user. The input can include one or more characters in a first writing system. The method can further include segmenting the input to obtain one or more segmentations, where each segmentation can include at least one segment including at least one character in the first writing system. A fuzzy model can be applied to the segmentations to obtain potential formal representations for the segmentations. Each of the potential formal representations can be in the first writing system and represent text in a second writing system. A plurality of character candidates can be determined based on the potential formal representations. Each of the plurality of character candidates can be a possible appropriate representation of the user input in the second writing system.
    • 计算机实现的方法可以包括在包括一个或多个处理器的计算设备处接收来自用户的输入。 输入可以包括第一写入系统中的一个或多个字符。 该方法还可以包括分割输入以获得一个或多个分割,其中每个分割可以包括至少一个包括第一书写系统中的至少一个字符的片段。 模糊模型可以应用于分段,以获得分段的潜在形式表示。 每个潜在的正式表示可以在第一个写入系统中,并在第二个写入系统中表示文本。 可以基于潜在的形式表示来确定多个字符候选。 多个字符候选中的每一个可以是第二写入系统中的用户输入的可能的适当表示。
    • 2. 发明申请
    • CUSTOM LANGUAGE MODELS
    • 自定义语言模式
    • US20110296374A1
    • 2011-12-01
    • US13127417
    • 2008-11-05
    • Jun WuHenry OuXiliu TangYong-Gang WangYongyan Liu
    • Jun WuHenry OuXiliu TangYong-Gang WangYongyan Liu
    • G06F9/44
    • G06F17/2715
    • Systems, methods, and apparatuses including computer program products for generating a custom language model. In one implementation, a method is provided. The method includes receiving a collection of documents; clustering the documents into one or more clusters; generating a cluster vector for each cluster of the one or more clusters; generating a target vector associcated with a target profile; comparing the target vector with each of the cluster vectors; selecting one or more of the one or more clusters based on the comparison; and generating a language model using documents from the one or more selected clusters.
    • 包括用于生成定制语言模型的计算机程序产品的系统,方法和装置。 在一个实现中,提供了一种方法。 该方法包括接收文件的集合; 将文档聚类成一个或多个集群; 为一个或多个聚类的每个聚类生成聚类向量; 生成与目标轮廓相关联的目标矢量; 将目标矢量与每个簇矢量进行比较; 基于所述比较选择所述一个或多个聚类中的一个或多个; 以及使用来自所述一个或多个所选集群的文档生成语言模型。