Database query generation from spoken sentences

H. Aust, M. Oerder
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引用次数: 10

Abstract

In the context of our spoken language inquiry system, we present the component which extracts the values needed for a database query from the textual representation of an utterance in the form of a word graph. A stochastic attributed grammar is used as a language model, to identify the relevant parts of the sentence, and to compute their meaning. High understanding rates, low computational costs and practically no restrictions of the usable language are important features of our system.<>
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从口语句子生成数据库查询
在我们的口语查询系统中,我们提出了一个组件,该组件以词图的形式从话语的文本表示中提取数据库查询所需的值。使用随机属性语法作为语言模型,识别句子的相关部分,并计算它们的意义。高理解率,低计算成本和几乎没有可用语言的限制是我们系统的重要特点。
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