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    • 3. 发明授权
    • Method and apparatus for automatic construction of hierarchical transduction models for language translation
    • 自动构建语言翻译分层转换模型的方法和装置
    • US06195631B1
    • 2001-02-27
    • US09198109
    • 1998-11-23
    • Hiyan AlshawiShona Douglas
    • Hiyan AlshawiShona Douglas
    • G06F1728
    • G06F17/2827
    • A method and apparatus for automatically constructing hierarchical transduction models for language translation is presented. The input to the construction process may be a database of examples each consisting of a transcribed speech utterance and its translation into another language. A translation pairing score is assigned (or computed) for translating a word in the source language into each of the possible translations it has in the target language. For each instance of the resulting training dataset, a head transducer may be constructed that translates the source string into the target string by splitting the source string into a source head word, the words preceding the source head word, and the words following the source head word. This process may be performed recursively to generate a set of transducer fragments. The transducer fragments may form a statistical head transducer model. The head transducer translation model may then be input into a transduction search module.
    • 提出了一种自动构建语言翻译分层转换模型的方法和装置。 对施工过程的输入可以是每个由转录的语音说话和其翻译成另一种语言的例子的数据库。 分配(或计算)用于将源语言中的单词翻译成目标语言中的每个可能的翻译的翻译配对分数。 对于所得到的训练数据集的每个实例,可以构造头传感器,其通过将源字符串分割成源头字,源头字前面的字和源头之后的字,将源字符串转换为目标字符串 字。 该过程可以递归地执行以产生一组换能器碎片。 传感器碎片可以形成统计头传感器模型。 然后可以将头部换能器转换模型输入到换能搜索模块中。
    • 4. 发明授权
    • Method and apparatus for creation and user-customization of speech-enabled services
    • 支持语音的服务的创建和用户定制的方法和设备
    • US07912726B2
    • 2011-03-22
    • US11215756
    • 2005-08-30
    • Hiyan AlshawiShona Douglas
    • Hiyan AlshawiShona Douglas
    • G10L21/00
    • G06F17/2827G10L15/22G10L15/26G10L2015/223H04M3/4936H04M2201/40
    • Embodiments of the invention relate to a system and method for providing speech-enabled application programs. The speech-enabled programs automatically execute requests input by users. One or more natural language variants may be mapped with at least one natural language exemplar. The natural language exemplar may correspond to a typical way to express a request relevant to the speech-enabled application program. The natural language variant may correspond to an alternative way of expressing the same request. A recognized input string is received and a prospective variant that most resembles the received recognized input string is selected from the natural language variants. The natural language exemplar mapped to the prospective variant is identified. An action instruction associated with the identified natural language exemplar is executed to fulfill the user's request.
    • 本发明的实施例涉及一种用于提供支持语音的应用程序的系统和方法。 启用语音的程序自动执行用户输入的请求。 一个或多个自然语言变体可以用至少一个自然语言样本来映射。 自然语言示例可以对应于表达与启用语音的应用程序相关的请求的典型方式。 自然语言变体可以对应于表达相同请求的替代方式。 接收到识别的输入字符串,并且从自然语言变体中选择最类似于所接收的识别输入字符串的预期变体。 确定映射到预期变体的自然语言范例。 执行与所识别的自然语言示例相关联的动作指令以满足用户的请求。