In speaker-independent speech recognition, between-speaker variability is one of the major resources of recognition errors.
在非特定语者语音辨识中，语者特性的差异可说是引起辨识错误的主要原因之一。
Since upper ontology is domain independent, many errors are introduced when mapping core terms to upper ontology concept in automatic Chinese core ontology construction.
上位本体是领域无关的而核心本体是领域相关的，因此在自动创建中文核心本体过程中，映射中文核心术语到上位本体概念有很多的错误。
Since upper ontology is domain independent, many errors are introduced when mapping core terms to upper ontology concept in automatic Chinese core ontology construction.
上位本体是领域无关的而核心本体是领域相关的，因此在自动创建中文核心本体过程中，映射中文核心术语到上位本体概念有很多的错误。
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