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    • 3. 发明申请
    • SPOKEN LANGUAGE IDENTIFICATION SYSTEM AND METHODS FOR TRAINING AND OPERATING SAME
    • SPOKEN语言识别系统及其培训与操作方法
    • WO2006030305A1
    • 2006-03-23
    • PCT/IB2005/002760
    • 2005-09-19
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHLI, HaizhouMA, BinWHITE, George, M.
    • LI, HaizhouMA, BinWHITE, George, M.
    • G10L15/08G10L15/02
    • G10L15/005G10L2015/025
    • A method for training a spoken language identification system to identify an unknown language as one of a plurality of known candidate languages includes the process of creating a sound inventory comprising a plurality of sound tokens, the collective plurality of sound tokens provided from a subset of the known candidate languages. The method further includes providing a plurality of training samples, each training sample composed within one of the known candidate languages. Further included is the process of generating one or more training vectors from each training database, wherein each training vector is defined as a function of said plurality of sound tokens provided from said subset of the known candidate languages. The method further includes associating each training vector with the candidate language of the corresponding training sample.
    • 用于训练口语识别系统以识别作为多种已知候选语言之一的未知语言的方法包括创建包括多个声音令牌的声音库存的过程,所述多个声音令牌的集合多个声音令牌从 已知候选语言。 该方法还包括提供多个训练样本,每个训练样本在已知候选语言之一内组成。 进一步包括从每个训练数据库生成一个或多个训练向量的过程,其中每个训练向量被定义为从所述已知候选语言的所述子集提供的所述多个声音令牌的函数。 该方法还包括将每个训练向量与相应训练样本的候选语言相关联。
    • 6. 发明申请
    • KEYWORD CLASSIFICATION AND DETERMINATION IN LANGUAGE MODELLING
    • 语言建模中的关键词分类与确定
    • WO2008097194A1
    • 2008-08-14
    • PCT/SG2007/000044
    • 2007-02-09
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHBAI, ShuanhuLI, Haizhou
    • BAI, ShuanhuLI, Haizhou
    • G06F7/04G06F7/00G06F17/21G06F17/30G06F17/28
    • G06F17/3069G06F17/30864
    • A computer-implemented method and apparatus defines a keyword class vector. A set of seed keywords is determined from a set of keywords and first and second most similar keywords from the set of seed keywords are then determined. A class vector is determined from first and second keyword vectors associated with the first and second most similar keywords. The method and apparatus also classifies a keyword in a keyword class. A similarity for a keyword vector associated with the keyword is determined with reference to a plurality of class vectors, each class vector having an associated class and determines a most similar class vector of the plurality of class vectors from the similarity determination. The keyword is then classified in a most similar class associated with the most similar class vector.
    • 计算机实现的方法和装置定义关键字类向量。 从一组关键字确定一组种子关键字,然后确定该种子关键词集合中的第一和第二最相似的关键字。 从与第一和第二最相似的关键词相关联的第一和第二关键词向量确定类向量。 该方法和装置还在关键字类中分类关键字。 参照多个类矢量来确定与该关键字相关联的关键词向量的相似度,每个类向量具有相关联的类,并根据相似性确定确定多个类向量中最相似的类向量。 然后将关键字分类为与最相似的类向量相关联的最相似的类。