公开(公告)号：US08994681B2

公开(公告)日：2015-03-31

申请号：US13871876

申请日：2013-04-26

Applicant: Google Inc.

Inventor： Satoshi Kataoka ,  Keisuke Kuroyanagi

IPC: G06F3/041 ,  G06F3/01 ,  G06F3/023 ,  G06F3/0488 ,  G06F17/27

CPC classification number: G06F3/017 ,  G06F3/0237 ,  G06F3/04886 ,  G06F17/276

Abstract: In one example, a method includes outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys. The method may also include receiving, by the computing device, an indication of a gesture detected at a presence-sensitive input device. The method may also include determining, by the computing device and based on a plurality of features associated with the gesture, a degree of precision of the gesture. The method may also include modifying, by the computing device and based at least in part on the degree of precision, a probability that the gesture indicates at least one key of the plurality of keys. The method may also include outputting, by the computing device and for display, a candidate word that is based at least in part on the probability that the gesture indicates at least one key of the plurality of keys.

Abstract translation: 在一个示例中，方法包括由计算设备输出并显示包括多个键的图形键盘。 该方法还可以包括由计算设备接收在存在敏感输入设备处检测到的手势的指示。 该方法还可以包括由计算设备确定与手势相关联的多个特征，该姿态的精度。 该方法还可以包括由计算设备修改并至少部分地基于精度来确定手势指示多个密钥中的至少一个密钥的概率。 该方法还可以包括由计算设备输出并用于显示至少部分地基于手势指示多个键中的至少一个键的概率的候选词。

公开(公告)号：US08756499B1

公开(公告)日：2014-06-17

申请号：US13872937

申请日：2013-04-29

Applicant: Google Inc.

Inventor： Satoshi Kataoka ,  Keisuke Kuroyanagi

IPC: G06F17/00

CPC classification number: G06F3/04886 ,  G06F3/0237 ,  G06F3/04883 ,  G06F17/276

Abstract: In one example, a computing device may include at least one processor that outputs a graphical keyboard. The at least one processor may determine a selection of one or more keys; and determine a character string based on the one or more keys in the selection, wherein the character string is not included in a vocabulary used by the computing device to identify character strings. The at least one processor may, in response to determining that the character string is not included in the vocabulary used by the computing device to identify character strings, associate the character string with an out-of-vocabulary language model score; and determine, based at least in part on a spatial model score associated with the gesture and the out-of-vocabulary language model score, a combined score that indicates a probability that the character string corresponds to the gesture; and output for display the character string.

Abstract translation: 在一个示例中，计算设备可以包括输出图形键盘的至少一个处理器。 所述至少一个处理器可以确定一个或多个键的选择; 并且基于所述选择中的所述一个或多个键确定字符串，其中所述字符串不包括在所述计算设备用于识别字符串的词汇表中。 所述至少一个处理器可以响应于确定所述字符串不包括在所述计算设备用于识别字符串的词汇表中，将所述字符串与所述词汇外语言模型得分相关联; 并且至少部分地基于与所述手势和所述超出词汇语言模型得分相关联的空间模型得分来确定指示所述字符串对应于所述手势的概率的组合分数; 并输出以显示字符串。

公开(公告)号：US20140115522A1

公开(公告)日：2014-04-24

申请号：US13889146

申请日：2013-05-07

Applicant: GOOGLE INC.

Inventor： Satoshi Kataoka ,  Keisuke Kuroyanagi

IPC: G06F3/01

CPC classification number: G06F3/017 ,  G06F3/0237 ,  G06F3/04883 ,  G06F3/04886

Abstract: In one example, a method includes outputting, by a computing device and for display, a graphical keyboard comprising a group of keys. The method may further include receiving an indication of a first portion of a gesture to select a first key, and determining, based at least in part on the first key, one or more predicted next characters. The method may further include determining a path from a first location of the graphical keyboard to a second location of the graphical keyboard, the first location corresponding to the first key, the second location corresponding to one of the one or more predicted next characters. The method may further include comparing a second portion of the gesture with the determined path, and selecting, based at least in part on the comparison, the one of the one or more predicted next characters.

Abstract translation: 在一个示例中，方法包括由计算设备输出并显示包括一组键的图形键盘。 该方法还可以包括接收手势的第一部分的指示以选择第一密钥，以及至少部分地基于第一密钥确定一个或多个预测的下一个字符。 该方法还可以包括确定从图形键盘的第一位置到图形键盘的第二位置的路径，第一位置对应于第一键，第二位置对应于一个或多个预测的下一个字符之一。 该方法还可以包括将手势的第二部分与确定的路径进行比较，以及至少部分地基于比较来选择一个或多个预测的下一个字符中的一个。