本文提出的面向概念的知识获取系统是一个能理解基本逻辑和自然语言的通用知识获取环境。

The conceptually oriented design knowledge acquisition system described in this paper is a very general knowledge acquisition environment which understands basic logic and language.

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用自然语言理解方法研究语音识别后文本的检错纠错，将是提高语音识别性能的一个重要研究方向。

Research on speech recognition error detection and correction by natural language understanding (NLU) method will be an important research direction of improving the performance of speech recognition.

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针对于目前在自动代码生成中主要使用抽象化的需求描述，而不是更常用的自然语言来表达的情况，提出了一个以受限汉语理解为基础的自动代码生成方案。

So, it can be found that at present the automatic code generation mainly uses abstract description of the requirement rather than the natural language which is more commonly used.

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