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    • 6. 发明授权
    • Method and apparatus for recognizing large list of proper names in spoken dialog systems
    • 在口头对话系统中识别大名单的方法和装置
    • US07925507B2
    • 2011-04-12
    • US11483840
    • 2006-07-07
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • G10L15/18
    • G06F17/278G06F17/30654G10L15/22
    • Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
    • 描述在对话系统中使用的名称识别过程的实施例。 在一个实施例中,名称识别过程基于这些名称的使用,将加权值分配给对话中使用的名称。 这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。 名称输入采用几种不同的形式,包括包含所有可能名称的静态后台数据库,包含常用名称(如公共商标或引用)的后台数据库,包含用户模型名称的数据库和动态 数据库不断提供刚才提到的名称。 然后,这些名称将附加适当的权重值。 给予最近提到的名称较高的重量,较低的重量被赋予通用名称,而对于从未被使用或提及的那些的名称来说,最小的重量是给予的。
    • 7. 发明申请
    • Method and apparatus for recognizing large list of proper names in spoken dialog systems
    • 在口头对话系统中识别大名单的方法和装置
    • US20080010058A1
    • 2008-01-10
    • US11483840
    • 2006-07-07
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • G06F17/27
    • G06F17/278G06F17/30654G10L15/22
    • Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
    • 描述在对话系统中使用的名称识别过程的实施例。 在一个实施例中,名称识别过程基于这些名称的使用,将加权值分配给对话中使用的名称。 这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。 名称输入采用几种不同的形式,包括包含所有可能名称的静态后台数据库,包含常用名称(如公共商标或引用)的后台数据库,包含用户模型名称的数据库和动态 数据库不断提供刚才提到的名称。 然后,这些名称将附加适当的权重值。 给予最近提到的名称较高的重量,较低的重量被赋予通用名称,而对于从未被使用或提及的那些的名称来说,最小的重量是给予的。