公开(公告)号：US20150348541A1

公开(公告)日：2015-12-03

申请号：US14290090

申请日：2014-05-29

Applicant: Google Inc.

Inventor： Mark Edward Epstein ,  Lucy Vasserman

IPC: G10L15/18

CPC classification number: G10L15/183 ,  G06F8/10 ,  G10L15/063 ,  G10L15/1815

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating language models. In some implementations, data is accessed that indicates a set of classes corresponding to a concept. A first language model is generated in which a first class represents the concept. A second language model is generated in which second classes represent the concept. Output of the first language model and the second language model is obtained, and the outputs are evaluated. A class from the set of classes is selected based on evaluating the output of the first language model and the output of the second language model. In some implementations, the first class and the second class are selected from a parse tree or other data that indicates relationships among the classes in the set of classes.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于生成语言模型。 在一些实现中，访问指示与概念相对应的一组类的数据。 生成第一语言模型，其中第一类表示概念。 生成第二种语言模型，其中第二类表示概念。 获得第一语言模型和第二语言模型的输出，并对输出进行评估。 基于评估第一语言模型的输出和第二语言模型的输出来选择来自该组类的类。 在一些实现中，从解析树或指示该组类中的类之间的关系的其他数据中选择第一类和第二类。

公开(公告)号：US09437189B2

公开(公告)日：2016-09-06

申请号：US14290090

申请日：2014-05-29

Applicant: Google Inc.

Inventor： Mark Edward Epstein ,  Lucy Vasserman

IPC: G10L15/00 ,  G10L15/183 ,  G10L15/06 ,  G06F9/44 ,  G10L15/18

CPC classification number: G10L15/183 ,  G06F8/10 ,  G10L15/063 ,  G10L15/1815

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating language models. In some implementations, data is accessed that indicates a set of classes corresponding to a concept. A first language model is generated in which a first class represents the concept. A second language model is generated in which second classes represent the concept. Output of the first language model and the second language model is obtained, and the outputs are evaluated. A class from the set of classes is selected based on evaluating the output of the first language model and the output of the second language model. In some implementations, the first class and the second class are selected from a parse tree or other data that indicates relationships among the classes in the set of classes.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于生成语言模型。 在一些实现中，访问指示与概念相对应的一组类的数据。 生成第一语言模型，其中第一类表示概念。 生成第二种语言模型，其中第二类表示概念。 获得第一语言模型和第二语言模型的输出，并对输出进行评估。 基于评估第一语言模型的输出和第二语言模型的输出来选择来自该组类的类。 在一些实现中，从解析树或指示该组类中的类之间的关系的其他数据中选择第一类和第二类。